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diff --git a/Available_area/ML_available_area.ipynb b/Available_area/ML_available_area.ipynb
index b83b559..8d7a985 100644
--- a/Available_area/ML_available_area.ipynb
+++ b/Available_area/ML_available_area.ipynb
@@ -1,10004 +1,10004 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import xarray as xr\n",
"import os\n",
"\n",
"from sklearn.ensemble import RandomForestRegressor\n",
"from sklearn.metrics import mean_squared_error as mse\n",
"from sklearn.metrics import mean_absolute_error as mae\n",
"from sklearn.model_selection import cross_val_predict\n",
"import scipy.spatial as spatial\n",
"\n",
"from pvlib.solarposition import get_solarposition\n",
"\n",
"import util\n",
"import matplotlib\n",
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Check available area"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data = pd.read_csv('/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc.csv')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>DF_UID</th>\n",
" <th>prediction_panels</th>\n",
" <th>model_std_panels</th>\n",
" <th>data_std_panels</th>\n",
" <th>total_std_panels</th>\n",
" <th>prediction_shade</th>\n",
" <th>model_std_shade</th>\n",
" <th>data_std_shade</th>\n",
" <th>total_std_shade</th>\n",
" <th>predicted_area_ratio</th>\n",
" <th>total_uncertainty_all</th>\n",
" <th>model_uncertainty_all</th>\n",
" <th>data_uncertainty_all</th>\n",
" <th>tilted_area</th>\n",
" <th>available_area</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
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" <td>15.948816</td>\n",
" <td>1.437423</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>0.500140</td>\n",
" <td>0.189558</td>\n",
" <td>0.110180</td>\n",
" <td>0.219253</td>\n",
" <td>0.072910</td>\n",
" <td>0.093728</td>\n",
" <td>0.033942</td>\n",
" <td>0.099684</td>\n",
" <td>0.463675</td>\n",
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" <td>0.211464</td>\n",
" <td>0.115290</td>\n",
" <td>63.437476</td>\n",
" <td>29.414390</td>\n",
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" <td>2</td>\n",
" <td>4.0</td>\n",
" <td>0.412044</td>\n",
" <td>0.139281</td>\n",
" <td>0.081699</td>\n",
" <td>0.161474</td>\n",
" <td>0.100239</td>\n",
" <td>0.134644</td>\n",
" <td>0.048521</td>\n",
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" <td>0.370741</td>\n",
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" <td>0.095021</td>\n",
" <td>38.368910</td>\n",
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" <th>3</th>\n",
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" <td>5.0</td>\n",
" <td>0.405748</td>\n",
" <td>0.156295</td>\n",
" <td>0.090131</td>\n",
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" <td>0.290959</td>\n",
" <td>0.200610</td>\n",
" <td>0.144141</td>\n",
" <td>0.247024</td>\n",
" <td>0.287692</td>\n",
" <td>0.305897</td>\n",
" <td>0.254308</td>\n",
" <td>0.170001</td>\n",
" <td>36.403273</td>\n",
" <td>10.472945</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>6.0</td>\n",
" <td>0.481832</td>\n",
" <td>0.188802</td>\n",
" <td>0.104113</td>\n",
" <td>0.215606</td>\n",
" <td>0.247234</td>\n",
" <td>0.202474</td>\n",
" <td>0.141214</td>\n",
" <td>0.246854</td>\n",
" <td>0.362707</td>\n",
" <td>0.327754</td>\n",
" <td>0.276843</td>\n",
" <td>0.175445</td>\n",
" <td>46.031679</td>\n",
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"</div>"
],
"text/plain": [
" Unnamed: 0 DF_UID prediction_panels model_std_panels data_std_panels \\\n",
"0 0 1.0 0.104887 0.103332 0.074716 \n",
"1 1 3.0 0.500140 0.189558 0.110180 \n",
"2 2 4.0 0.412044 0.139281 0.081699 \n",
"3 3 5.0 0.405748 0.156295 0.090131 \n",
"4 4 6.0 0.481832 0.188802 0.104113 \n",
"\n",
" total_std_panels prediction_shade model_std_shade data_std_shade \\\n",
"0 0.127515 0.140720 0.224326 0.056937 \n",
"1 0.219253 0.072910 0.093728 0.033942 \n",
"2 0.161474 0.100239 0.134644 0.048521 \n",
"3 0.180421 0.290959 0.200610 0.144141 \n",
"4 0.215606 0.247234 0.202474 0.141214 \n",
"\n",
" total_std_shade predicted_area_ratio total_uncertainty_all \\\n",
"0 0.231439 0.090127 0.264242 \n",
"1 0.099684 0.463675 0.240851 \n",
"2 0.143120 0.370741 0.215771 \n",
"3 0.247024 0.287692 0.305897 \n",
"4 0.246854 0.362707 0.327754 \n",
"\n",
" model_uncertainty_all data_uncertainty_all tilted_area available_area \n",
"0 0.246981 0.093937 15.948816 1.437423 \n",
"1 0.211464 0.115290 63.437476 29.414390 \n",
"2 0.193722 0.095021 38.368910 14.224941 \n",
"3 0.254308 0.170001 36.403273 10.472945 \n",
"4 0.276843 0.175445 46.031679 16.696005 "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"data['unc_ratio_of_avail'] = data.total_uncertainty_all / data.predicted_area_ratio"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"data['unc_of_area'] = data.available_area * data.total_uncertainty_all"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.20900512952792152"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(data.unc_of_area / data.available_area).dropna().mean()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"Unnamed: 0 3.353304e+07\n",
"DF_UID 3.662576e+07\n",
"prediction_panels 2.666678e+00\n",
"model_std_panels 8.437687e-01\n",
"data_std_panels 4.561566e-01\n",
"total_std_panels 9.637912e-01\n",
"prediction_shade 1.082567e+00\n",
"model_std_shade 1.012729e+00\n",
"data_std_shade 4.839912e-01\n",
"total_std_shade 1.131640e+00\n",
"predicted_area_ratio 2.360662e+00\n",
"total_uncertainty_all 1.576019e+00\n",
"model_uncertainty_all 1.392613e+00\n",
"data_uncertainty_all 7.244057e-01\n",
"tilted_area 6.322040e+02\n",
"available_area 2.672305e+02\n",
"unc_ratio_of_avail inf\n",
"unc_of_area 4.077809e+01\n",
"dtype: float64"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.sum()/1e6"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Unnamed: 0 4.447040e+06\n",
"DF_UID 4.857186e+06\n",
"prediction_panels 3.536458e-01\n",
"model_std_panels 1.118978e-01\n",
"data_std_panels 6.049396e-02\n",
"total_std_panels 1.278148e-01\n",
"prediction_shade 1.435664e-01\n",
"model_std_shade 1.343047e-01\n",
"data_std_shade 6.418529e-02\n",
"total_std_shade 1.500743e-01\n",
"predicted_area_ratio 3.130631e-01\n",
"total_uncertainty_all 2.090064e-01\n",
"model_uncertainty_all 1.846837e-01\n",
"data_uncertainty_all 9.606824e-02\n",
"tilted_area 8.384077e+01\n",
"available_area 3.543921e+01\n",
"unc_ratio_of_avail inf\n",
"dtype: float64"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.mean()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Unnamed: 0 8.829517e+06\n",
"DF_UID 9.890023e+06\n",
"prediction_panels 8.822359e-01\n",
"model_std_panels 2.977120e-01\n",
"data_std_panels 3.261909e-01\n",
"total_std_panels 3.880319e-01\n",
"prediction_shade 9.813836e-01\n",
"model_std_shade 4.242077e-01\n",
"data_std_shade 4.363488e-01\n",
"total_std_shade 5.681014e-01\n",
"predicted_area_ratio 8.679680e-01\n",
"total_uncertainty_all 5.999002e-01\n",
"model_uncertainty_all 4.550383e-01\n",
"data_uncertainty_all 4.495363e-01\n",
"tilted_area 8.579942e+04\n",
"available_area 3.926699e+04\n",
"dtype: float64"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.max()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Unnamed: 0 0.000000\n",
"DF_UID 1.000000\n",
"prediction_panels 0.000000\n",
"model_std_panels 0.000000\n",
"data_std_panels 0.000000\n",
"total_std_panels 0.000000\n",
"prediction_shade 0.000186\n",
"model_std_shade 0.001435\n",
"data_std_shade 0.000054\n",
"total_std_shade 0.001473\n",
"predicted_area_ratio 0.000000\n",
"total_uncertainty_all 0.015546\n",
"model_uncertainty_all 0.015375\n",
"data_uncertainty_all 0.000852\n",
"tilted_area 3.615118\n",
"available_area 0.000000\n",
"dtype: float64"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.min()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load training data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [
{
"ename": "FileNotFoundError",
"evalue": "File b'/Users/alinawalch/Documents/EPFL/data/rooftops/TRN_available_area_data_all.csv' does not exist",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-2-b81df3e14777>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mfp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'/Users/alinawalch/Documents/EPFL/data/rooftops/TRN_available_area_data_all.csv'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mlearning_table\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m~/miniconda3/envs/py3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mparser_f\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)\u001b[0m\n\u001b[1;32m 676\u001b[0m skip_blank_lines=skip_blank_lines)\n\u001b[1;32m 677\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 678\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 679\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 680\u001b[0m \u001b[0mparser_f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/py3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 438\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 439\u001b[0m \u001b[0;31m# Create the parser.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 440\u001b[0;31m \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 441\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 442\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/py3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 785\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 786\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 787\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 788\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 789\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/py3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[0;34m(self, engine)\u001b[0m\n\u001b[1;32m 1012\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'c'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1013\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'c'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1014\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCParserWrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1015\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1016\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'python'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/py3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, **kwds)\u001b[0m\n\u001b[1;32m 1706\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'usecols'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0musecols\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1707\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1708\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTextReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1709\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1710\u001b[0m \u001b[0mpassed_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnames\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._setup_parser_source\u001b[0;34m()\u001b[0m\n",
"\u001b[0;31mFileNotFoundError\u001b[0m: File b'/Users/alinawalch/Documents/EPFL/data/rooftops/TRN_available_area_data_all.csv' does not exist"
]
}
],
"source": [
"fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/TRN_available_area_data_all.csv'\n",
"learning_table = pd.read_csv(fp)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['DF_UID', 'FLAECHE', 'NEIGUNG', 'AUSRICHTUNG', 'XCOORD', 'YCOORD',\n",
" 'Shape_Length', 'Shape_Area', 'GWR_EGID', 'GBAUP', 'GKAT', 'GAREA',\n",
" 'GASTW', 'GKODX', 'GKODY', 'Shape_Ratio', 'n_neighbors_100',\n",
" 'Estim_build_area', 'n_corners', 'panel_tilt', 'best_align',\n",
" 'panelled_area_ratio_ftr', 'shaded_area_ratio_ftr',\n",
" 'shaded_area_ratio_tgt', 'tilt_cat', 'orientation_cat',\n",
" 'available_area_ratio', 'panelled_area_ratio_tgt'],\n",
" dtype='object')"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"learning_table.columns"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"154824"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(learning_table)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"equal_area = learning_table[np.round(learning_table.panelled_area_ratio_ftr,4) == np.round(learning_table.panelled_area_ratio_tgt,4)]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"121737"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(equal_area)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Create table with features and labels\n",
"Possible features for available area are:\n",
"##### Roof data\n",
"- Slope (NEIGUNG)\n",
"- Aspect (AUSRICHTUNG)\n",
"- Roof area (FLAECHE)\n",
"- Roof perimeter (Shape_Length)\n",
"- Roof shape ratio (Shape_Ratio, i.e. Shape_Length / FLAECHE)\n",
"- Roof vertices (n_corners)\n",
"- Panel tilt (different for flat roofs, panel_tilt)\n",
"- ? panel alignment ?\n",
"\n",
"##### Building data\n",
"- Number of floors (GASTW)\n",
"- Period of construction (GBAUP)\n",
"- Building area (GAREA)\n",
"- Building category (GKAT)\n",
"- Number of neighbors (n_neighbors_100, 100m radius)\n",
"\n",
"##### Approximate ratios\n",
"- Approximate shaded area ratio (shaded_area_ratio_ftr, based on 2m res. DOM)\n",
"- Approximate panelled area ratio (panelled_area_ratio_ftr, based on roofs without superstructures)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Machine Learning"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"label_name = ['shaded_area_ratio_tgt', 'panelled_area_ratio_tgt']\n",
"identifier = 'DF_UID'\n",
"\n",
"# choose from: \n",
"# -'shaded_area_ratio_ftr', 'panelled_area_ratio_ftr' (approximate ratios)\n",
"# -'NEIGUNG', 'AUSRICHTUNG', 'FLAECHE', 'Shape_Length', 'Shape_Ratio', 'n_corners', 'panel_tilt' (rooftop info)\n",
"# -'GASTW', 'GBAUP', 'GKAT', 'GAREA', 'n_neighbors_100' (GWR info)\n",
"\n",
"all_features = ['shaded_area_ratio_ftr', 'panelled_area_ratio_ftr', \n",
" 'NEIGUNG', 'AUSRICHTUNG', 'FLAECHE', 'Shape_Length', 'Shape_Ratio', 'n_corners', 'panel_tilt',\n",
" 'GASTW', 'GBAUP', 'GKAT', 'GAREA', 'n_neighbors_100']\n",
"\n",
"feature_names = all_features"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Baseline MSE: 0.022830\n",
"Baseline MSE (shading): 0.054517\n",
"Baseline MSE (panelling): 0.012738\n"
]
}
],
"source": [
"# Baseline mse:\n",
"av_area_ratio_ftr = (1 - learning_table.shaded_area_ratio_ftr) * learning_table.panelled_area_ratio_ftr\n",
"print( 'Baseline MSE: %f' %mse(av_area_ratio_ftr, learning_table[ 'available_area_ratio' ]))\n",
"print( 'Baseline MSE (shading): %f' %mse(learning_table.shaded_area_ratio_ftr, learning_table[ 'shaded_area_ratio_tgt' ]))\n",
"print( 'Baseline MSE (panelling): %f' %mse(learning_table.panelled_area_ratio_ftr, learning_table[ 'panelled_area_ratio_tgt' ]))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Baseline RMSE: 0.151095\n",
"Baseline RMSE (shading): 0.233488\n",
"Baseline RMSE (panelling): 0.112861\n"
]
}
],
"source": [
"print( 'Baseline RMSE: %f' %np.sqrt(mse(av_area_ratio_ftr, learning_table[ 'available_area_ratio' ])))\n",
"print( 'Baseline RMSE (shading): %f' %np.sqrt(mse(learning_table.shaded_area_ratio_ftr, learning_table[ 'shaded_area_ratio_tgt' ])))\n",
"print( 'Baseline RMSE (panelling): %f' %np.sqrt(mse(learning_table.panelled_area_ratio_ftr, learning_table[ 'panelled_area_ratio_tgt' ])))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Baseline MAE: 0.090179\n",
"Baseline MAE (shading): 0.132462\n",
"Baseline MAE (panelling): 0.041571\n"
]
}
],
"source": [
"print('Baseline MAE: %f' %mae(av_area_ratio_ftr, learning_table[ 'available_area_ratio' ]))\n",
"print('Baseline MAE (shading): %f' %mae(learning_table.shaded_area_ratio_ftr, learning_table.shaded_area_ratio_tgt))\n",
"print('Baseline MAE (panelling): %f' %mae(learning_table.panelled_area_ratio_ftr, learning_table.panelled_area_ratio_tgt))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Baseline MBE: 0.078318\n",
"Baseline MBE (shading): -0.103875\n",
"Baseline MBE (panelling): 0.041277\n"
]
}
],
"source": [
"print('Baseline MBE: %f' %np.mean(av_area_ratio_ftr - learning_table[ 'available_area_ratio' ]))\n",
"print('Baseline MBE (shading): %f' %np.mean(learning_table.shaded_area_ratio_ftr - learning_table.shaded_area_ratio_tgt))\n",
"print('Baseline MBE (panelling): %f' %np.mean(learning_table.panelled_area_ratio_ftr - learning_table.panelled_area_ratio_tgt))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Tests:\n",
"- 14 features in total\n",
"- Total options of combinations: 14 CHOOSE K"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"n_features = len(feature_names)\n",
"max_trials = 20\n",
"#. for i in range(len(feature_names)):\n",
"i=0\n",
"n_permutations = comb(n_features, i) "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"tr_ratio = 0.8\n",
"ind = np.random.permutation(len(learning_table))\n",
"tr_ind = int( tr_ratio * len(learning_table) )\n",
"\n",
"training = learning_table.loc[ ind[ : tr_ind ] , :]\n",
"validation = learning_table.loc[ ind[ tr_ind : ] , :]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"scrolled": true
},
"outputs": [
{
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" <th>n_corners</th>\n",
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" <th>orientation_cat</th>\n",
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" <td>0.000000</td>\n",
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" <td>medium_tilt</td>\n",
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" <td>81.256555</td>\n",
" <td>28.0</td>\n",
" <td>123.0</td>\n",
" <td>503504.226918</td>\n",
" <td>134138.960671</td>\n",
" <td>37.840077</td>\n",
" <td>71.574129</td>\n",
" <td>1004090.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>28</td>\n",
" <td>vertical</td>\n",
" <td>0.708866</td>\n",
" <td>0.333333</td>\n",
" <td>0.077193</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.654146</td>\n",
" <td>0.708866</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>4817429.0</td>\n",
" <td>11.397236</td>\n",
" <td>27.0</td>\n",
" <td>-144.0</td>\n",
" <td>503512.070989</td>\n",
" <td>134135.795686</td>\n",
" <td>15.417311</td>\n",
" <td>10.154872</td>\n",
" <td>1004090.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>3</td>\n",
" <td>27</td>\n",
" <td>equal</td>\n",
" <td>0.140385</td>\n",
" <td>0.000000</td>\n",
" <td>0.075000</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.129856</td>\n",
" <td>0.140385</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>4817431.0</td>\n",
" <td>174.501987</td>\n",
" <td>31.0</td>\n",
" <td>-147.0</td>\n",
" <td>503503.978942</td>\n",
" <td>134181.171146</td>\n",
" <td>59.815925</td>\n",
" <td>149.165008</td>\n",
" <td>1004088.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>31</td>\n",
" <td>vertical</td>\n",
" <td>0.806868</td>\n",
" <td>0.135135</td>\n",
" <td>0.020101</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.790649</td>\n",
" <td>0.806868</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>4817432.0</td>\n",
" <td>174.108293</td>\n",
" <td>31.0</td>\n",
" <td>33.0</td>\n",
" <td>503500.517066</td>\n",
" <td>134175.889168</td>\n",
" <td>59.775896</td>\n",
" <td>148.702405</td>\n",
" <td>1004088.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>31</td>\n",
" <td>vertical</td>\n",
" <td>0.808692</td>\n",
" <td>0.131579</td>\n",
" <td>0.161345</td>\n",
" <td>medium_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.678214</td>\n",
" <td>0.808692</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>4817433.0</td>\n",
" <td>69.216255</td>\n",
" <td>26.0</td>\n",
" <td>33.0</td>\n",
" <td>503510.917446</td>\n",
" <td>134191.713704</td>\n",
" <td>45.633223</td>\n",
" <td>61.997846</td>\n",
" <td>295084893.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>26</td>\n",
" <td>horizontal</td>\n",
" <td>0.508551</td>\n",
" <td>0.000000</td>\n",
" <td>0.060241</td>\n",
" <td>medium_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.260681</td>\n",
" <td>0.277391</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>4817434.0</td>\n",
" <td>26.716480</td>\n",
" <td>31.0</td>\n",
" <td>-147.0</td>\n",
" <td>503517.020358</td>\n",
" <td>134191.118711</td>\n",
" <td>23.687927</td>\n",
" <td>22.959133</td>\n",
" <td>295084893.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>31</td>\n",
" <td>horizontal</td>\n",
" <td>0.479105</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.479105</td>\n",
" <td>0.479105</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>4817435.0</td>\n",
" <td>26.018729</td>\n",
" <td>31.0</td>\n",
" <td>-147.0</td>\n",
" <td>503507.806109</td>\n",
" <td>134197.114437</td>\n",
" <td>23.199036</td>\n",
" <td>22.360589</td>\n",
" <td>295084893.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>31</td>\n",
" <td>horizontal</td>\n",
" <td>0.491953</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.491953</td>\n",
" <td>0.491953</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>4817436.0</td>\n",
" <td>13.309012</td>\n",
" <td>33.0</td>\n",
" <td>123.0</td>\n",
" <td>503512.471353</td>\n",
" <td>134196.622116</td>\n",
" <td>15.096068</td>\n",
" <td>11.164928</td>\n",
" <td>295084893.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>6</td>\n",
" <td>33</td>\n",
" <td>equal</td>\n",
" <td>0.240439</td>\n",
" <td>0.000000</td>\n",
" <td>0.266667</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.176322</td>\n",
" <td>0.240439</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>4817437.0</td>\n",
" <td>13.503089</td>\n",
" <td>32.0</td>\n",
" <td>-57.0</td>\n",
" <td>503514.586126</td>\n",
" <td>134195.245953</td>\n",
" <td>15.198331</td>\n",
" <td>11.396747</td>\n",
" <td>295084893.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>32</td>\n",
" <td>vertical</td>\n",
" <td>0.236983</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>medium_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.236983</td>\n",
" <td>0.236983</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>4817438.0</td>\n",
" <td>130.038144</td>\n",
" <td>26.0</td>\n",
" <td>-144.0</td>\n",
" <td>503951.193324</td>\n",
" <td>134195.306644</td>\n",
" <td>64.584475</td>\n",
" <td>117.365353</td>\n",
" <td>295084994.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>26</td>\n",
" <td>vertical</td>\n",
" <td>0.664420</td>\n",
" <td>0.900000</td>\n",
" <td>0.785106</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.142780</td>\n",
" <td>0.664420</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>4817439.0</td>\n",
" <td>126.475108</td>\n",
" <td>26.0</td>\n",
" <td>36.0</td>\n",
" <td>503948.788882</td>\n",
" <td>134191.981218</td>\n",
" <td>64.301850</td>\n",
" <td>113.406403</td>\n",
" <td>295084994.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>26</td>\n",
" <td>vertical</td>\n",
" <td>0.683138</td>\n",
" <td>0.214286</td>\n",
" <td>0.556291</td>\n",
" <td>medium_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.303114</td>\n",
" <td>0.683138</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>4817440.0</td>\n",
" <td>47.540096</td>\n",
" <td>37.0</td>\n",
" <td>-144.0</td>\n",
" <td>503996.949571</td>\n",
" <td>134161.244934</td>\n",
" <td>27.081498</td>\n",
" <td>37.981483</td>\n",
" <td>1004076.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>37</td>\n",
" <td>horizontal</td>\n",
" <td>0.673116</td>\n",
" <td>0.800000</td>\n",
" <td>0.973510</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.017831</td>\n",
" <td>0.673116</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>4817441.0</td>\n",
" <td>35.497241</td>\n",
" <td>32.0</td>\n",
" <td>36.0</td>\n",
" <td>503994.863047</td>\n",
" <td>134158.375583</td>\n",
" <td>25.402378</td>\n",
" <td>29.945648</td>\n",
" <td>1004076.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>32</td>\n",
" <td>horizontal</td>\n",
" <td>0.450739</td>\n",
" <td>0.142857</td>\n",
" <td>0.725000</td>\n",
" <td>medium_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.123953</td>\n",
" <td>0.450739</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>4817442.0</td>\n",
" <td>49.847956</td>\n",
" <td>38.0</td>\n",
" <td>36.0</td>\n",
" <td>504003.468131</td>\n",
" <td>134152.306087</td>\n",
" <td>29.835723</td>\n",
" <td>39.429900</td>\n",
" <td>1004076.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>38</td>\n",
" <td>vertical</td>\n",
" <td>0.641952</td>\n",
" <td>0.900000</td>\n",
" <td>0.961538</td>\n",
" <td>medium_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.024690</td>\n",
" <td>0.641952</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>4817448.0</td>\n",
" <td>34.963254</td>\n",
" <td>28.0</td>\n",
" <td>-145.0</td>\n",
" <td>503922.898105</td>\n",
" <td>134216.939359</td>\n",
" <td>29.062031</td>\n",
" <td>30.741322</td>\n",
" <td>1004089.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>28</td>\n",
" <td>horizontal</td>\n",
" <td>0.457623</td>\n",
" <td>0.125000</td>\n",
" <td>0.975610</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.011162</td>\n",
" <td>0.457623</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>4817449.0</td>\n",
" <td>19.979434</td>\n",
" <td>7.0</td>\n",
" <td>35.0</td>\n",
" <td>503916.075512</td>\n",
" <td>134213.701005</td>\n",
" <td>17.895750</td>\n",
" <td>19.831984</td>\n",
" <td>1004089.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>7</td>\n",
" <td>vertical</td>\n",
" <td>0.640659</td>\n",
" <td>0.666667</td>\n",
" <td>0.925000</td>\n",
" <td>shallow_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.048049</td>\n",
" <td>0.640659</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>4817450.0</td>\n",
" <td>21.119847</td>\n",
" <td>18.0</td>\n",
" <td>-144.0</td>\n",
" <td>503936.461763</td>\n",
" <td>134203.761986</td>\n",
" <td>18.414721</td>\n",
" <td>20.066844</td>\n",
" <td>295084994.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>18</td>\n",
" <td>horizontal</td>\n",
" <td>0.454549</td>\n",
" <td>0.000000</td>\n",
" <td>0.506173</td>\n",
" <td>shallow_tilt</td>\n",
" <td>N</td>\n",
" <td>0.224469</td>\n",
" <td>0.454549</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>4817451.0</td>\n",
" <td>21.374411</td>\n",
" <td>19.0</td>\n",
" <td>36.0</td>\n",
" <td>503934.470464</td>\n",
" <td>134200.829905</td>\n",
" <td>19.727025</td>\n",
" <td>20.261942</td>\n",
" <td>295084994.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>6</td>\n",
" <td>19</td>\n",
" <td>horizontal</td>\n",
" <td>0.449135</td>\n",
" <td>0.000000</td>\n",
" <td>0.543210</td>\n",
" <td>shallow_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.205161</td>\n",
" <td>0.449135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>4817452.0</td>\n",
" <td>68.854261</td>\n",
" <td>35.0</td>\n",
" <td>-140.0</td>\n",
" <td>504222.101990</td>\n",
" <td>134017.187739</td>\n",
" <td>31.767443</td>\n",
" <td>56.268749</td>\n",
" <td>1004049.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>35</td>\n",
" <td>horizontal</td>\n",
" <td>0.697125</td>\n",
" <td>0.142857</td>\n",
" <td>0.053333</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.659945</td>\n",
" <td>0.697125</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>4817453.0</td>\n",
" <td>52.296595</td>\n",
" <td>34.0</td>\n",
" <td>40.0</td>\n",
" <td>504219.058562</td>\n",
" <td>134013.574920</td>\n",
" <td>29.327904</td>\n",
" <td>43.406040</td>\n",
" <td>1004049.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>34</td>\n",
" <td>horizontal</td>\n",
" <td>0.734273</td>\n",
" <td>0.100000</td>\n",
" <td>0.034682</td>\n",
" <td>medium_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.649740</td>\n",
" <td>0.673084</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>4817458.0</td>\n",
" <td>258.858167</td>\n",
" <td>34.0</td>\n",
" <td>127.0</td>\n",
" <td>504246.524168</td>\n",
" <td>134078.107216</td>\n",
" <td>66.270016</td>\n",
" <td>215.837030</td>\n",
" <td>1004035.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>34</td>\n",
" <td>vertical</td>\n",
" <td>0.834434</td>\n",
" <td>0.109091</td>\n",
" <td>0.030093</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.809324</td>\n",
" <td>0.834434</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>4817459.0</td>\n",
" <td>260.507359</td>\n",
" <td>30.0</td>\n",
" <td>-49.0</td>\n",
" <td>504253.910958</td>\n",
" <td>134072.701545</td>\n",
" <td>66.856008</td>\n",
" <td>225.390527</td>\n",
" <td>1004035.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>30</td>\n",
" <td>vertical</td>\n",
" <td>0.767733</td>\n",
" <td>0.035714</td>\n",
" <td>0.008869</td>\n",
" <td>medium_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.760923</td>\n",
" <td>0.767733</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>4817460.0</td>\n",
" <td>33.455253</td>\n",
" <td>24.0</td>\n",
" <td>-142.0</td>\n",
" <td>504252.873380</td>\n",
" <td>134059.252231</td>\n",
" <td>24.705455</td>\n",
" <td>30.633213</td>\n",
" <td>1004035.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>6</td>\n",
" <td>24</td>\n",
" <td>vertical</td>\n",
" <td>0.478251</td>\n",
" <td>0.000000</td>\n",
" <td>0.008130</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.474363</td>\n",
" <td>0.478251</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>4817461.0</td>\n",
" <td>45.821417</td>\n",
" <td>22.0</td>\n",
" <td>32.0</td>\n",
" <td>504249.859870</td>\n",
" <td>134055.974734</td>\n",
" <td>27.196876</td>\n",
" <td>42.462233</td>\n",
" <td>1004035.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>22</td>\n",
" <td>horizontal</td>\n",
" <td>0.593609</td>\n",
" <td>0.000000</td>\n",
" <td>0.005952</td>\n",
" <td>medium_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.590075</td>\n",
" <td>0.593609</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>4817463.0</td>\n",
" <td>82.400929</td>\n",
" <td>33.0</td>\n",
" <td>-50.0</td>\n",
" <td>504157.851075</td>\n",
" <td>134078.914455</td>\n",
" <td>32.942705</td>\n",
" <td>69.128758</td>\n",
" <td>1004073.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>6</td>\n",
" <td>33</td>\n",
" <td>horizontal</td>\n",
" <td>0.621352</td>\n",
" <td>0.000000</td>\n",
" <td>0.003610</td>\n",
" <td>medium_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.619109</td>\n",
" <td>0.621352</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>4817464.0</td>\n",
" <td>78.771912</td>\n",
" <td>31.0</td>\n",
" <td>130.0</td>\n",
" <td>504150.396646</td>\n",
" <td>134085.492644</td>\n",
" <td>32.609685</td>\n",
" <td>67.373176</td>\n",
" <td>1004073.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>31</td>\n",
" <td>vertical</td>\n",
" <td>0.710913</td>\n",
" <td>0.000000</td>\n",
" <td>0.092937</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.368482</td>\n",
" <td>0.406236</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154794</th>\n",
" <td>5124495.0</td>\n",
" <td>27.490066</td>\n",
" <td>21.0</td>\n",
" <td>116.0</td>\n",
" <td>512507.153297</td>\n",
" <td>121868.767886</td>\n",
" <td>24.997104</td>\n",
" <td>25.656416</td>\n",
" <td>295081617.0</td>\n",
" <td>8017.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>21</td>\n",
" <td>horizontal</td>\n",
" <td>0.582028</td>\n",
" <td>0.000000</td>\n",
" <td>0.009434</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.576538</td>\n",
" <td>0.582028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154795</th>\n",
" <td>5124496.0</td>\n",
" <td>33.733199</td>\n",
" <td>11.0</td>\n",
" <td>30.0</td>\n",
" <td>512653.714458</td>\n",
" <td>121846.443211</td>\n",
" <td>27.509294</td>\n",
" <td>33.153466</td>\n",
" <td>1018650.0</td>\n",
" <td>8015.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>11</td>\n",
" <td>horizontal</td>\n",
" <td>0.569172</td>\n",
" <td>0.000000</td>\n",
" <td>0.015152</td>\n",
" <td>shallow_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.560548</td>\n",
" <td>0.569172</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154796</th>\n",
" <td>5124497.0</td>\n",
" <td>139.413591</td>\n",
" <td>30.0</td>\n",
" <td>-60.0</td>\n",
" <td>512727.853591</td>\n",
" <td>121799.313992</td>\n",
" <td>54.005430</td>\n",
" <td>120.493402</td>\n",
" <td>1018653.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>9</td>\n",
" <td>30</td>\n",
" <td>horizontal</td>\n",
" <td>0.677122</td>\n",
" <td>0.000000</td>\n",
" <td>0.004149</td>\n",
" <td>medium_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.674312</td>\n",
" <td>0.677122</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154797</th>\n",
" <td>5124498.0</td>\n",
" <td>137.530298</td>\n",
" <td>30.0</td>\n",
" <td>120.0</td>\n",
" <td>512722.012941</td>\n",
" <td>121802.781737</td>\n",
" <td>53.905711</td>\n",
" <td>119.641777</td>\n",
" <td>1018653.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>9</td>\n",
" <td>30</td>\n",
" <td>horizontal</td>\n",
" <td>0.639859</td>\n",
" <td>0.064516</td>\n",
" <td>0.041841</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.613087</td>\n",
" <td>0.639859</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154798</th>\n",
" <td>5124499.0</td>\n",
" <td>92.630815</td>\n",
" <td>7.0</td>\n",
" <td>-150.0</td>\n",
" <td>512731.300787</td>\n",
" <td>121811.881398</td>\n",
" <td>47.143675</td>\n",
" <td>91.927158</td>\n",
" <td>1018653.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>8</td>\n",
" <td>7</td>\n",
" <td>equal</td>\n",
" <td>0.656369</td>\n",
" <td>0.045455</td>\n",
" <td>0.147541</td>\n",
" <td>shallow_tilt</td>\n",
" <td>N</td>\n",
" <td>0.559528</td>\n",
" <td>0.656369</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154799</th>\n",
" <td>5124500.0</td>\n",
" <td>44.081253</td>\n",
" <td>7.0</td>\n",
" <td>-148.0</td>\n",
" <td>512734.614676</td>\n",
" <td>121817.612632</td>\n",
" <td>28.618486</td>\n",
" <td>43.718502</td>\n",
" <td>1018653.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>7</td>\n",
" <td>vertical</td>\n",
" <td>0.653339</td>\n",
" <td>0.000000</td>\n",
" <td>0.022857</td>\n",
" <td>shallow_tilt</td>\n",
" <td>N</td>\n",
" <td>0.638405</td>\n",
" <td>0.653339</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154800</th>\n",
" <td>5124502.0</td>\n",
" <td>14.119724</td>\n",
" <td>11.0</td>\n",
" <td>-147.0</td>\n",
" <td>512729.165421</td>\n",
" <td>121822.382400</td>\n",
" <td>16.789635</td>\n",
" <td>13.863595</td>\n",
" <td>1018653.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>6</td>\n",
" <td>11</td>\n",
" <td>horizontal</td>\n",
" <td>0.453267</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>shallow_tilt</td>\n",
" <td>N</td>\n",
" <td>0.420890</td>\n",
" <td>0.453267</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154801</th>\n",
" <td>5124503.0</td>\n",
" <td>36.753693</td>\n",
" <td>21.0</td>\n",
" <td>122.0</td>\n",
" <td>512683.971180</td>\n",
" <td>121769.079140</td>\n",
" <td>23.556753</td>\n",
" <td>34.231614</td>\n",
" <td>2040405.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>21</td>\n",
" <td>equal</td>\n",
" <td>0.522396</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.522396</td>\n",
" <td>0.522396</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154802</th>\n",
" <td>5124505.0</td>\n",
" <td>36.179539</td>\n",
" <td>19.0</td>\n",
" <td>-58.0</td>\n",
" <td>512689.565868</td>\n",
" <td>121765.612262</td>\n",
" <td>23.566963</td>\n",
" <td>34.201265</td>\n",
" <td>2040405.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>19</td>\n",
" <td>equal</td>\n",
" <td>0.530687</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>shallow_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.530687</td>\n",
" <td>0.530687</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154803</th>\n",
" <td>5124506.0</td>\n",
" <td>57.609988</td>\n",
" <td>17.0</td>\n",
" <td>-57.0</td>\n",
" <td>512685.874412</td>\n",
" <td>121760.247993</td>\n",
" <td>37.797327</td>\n",
" <td>55.148314</td>\n",
" <td>2040405.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>8</td>\n",
" <td>17</td>\n",
" <td>vertical</td>\n",
" <td>0.694324</td>\n",
" <td>0.000000</td>\n",
" <td>0.105023</td>\n",
" <td>shallow_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.621404</td>\n",
" <td>0.694324</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154804</th>\n",
" <td>5124507.0</td>\n",
" <td>57.882063</td>\n",
" <td>22.0</td>\n",
" <td>122.0</td>\n",
" <td>512679.975021</td>\n",
" <td>121763.783138</td>\n",
" <td>29.386703</td>\n",
" <td>53.499302</td>\n",
" <td>2040405.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>22</td>\n",
" <td>vertical</td>\n",
" <td>0.773988</td>\n",
" <td>0.076923</td>\n",
" <td>0.186916</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.629317</td>\n",
" <td>0.773988</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154805</th>\n",
" <td>5124508.0</td>\n",
" <td>35.898733</td>\n",
" <td>22.0</td>\n",
" <td>-153.0</td>\n",
" <td>512676.571716</td>\n",
" <td>121745.126015</td>\n",
" <td>30.833490</td>\n",
" <td>33.393443</td>\n",
" <td>2040405.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>7</td>\n",
" <td>22</td>\n",
" <td>horizontal</td>\n",
" <td>0.356559</td>\n",
" <td>0.000000</td>\n",
" <td>0.014493</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.351391</td>\n",
" <td>0.356559</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154806</th>\n",
" <td>5124509.0</td>\n",
" <td>88.059840</td>\n",
" <td>20.0</td>\n",
" <td>27.0</td>\n",
" <td>512674.020870</td>\n",
" <td>121740.921893</td>\n",
" <td>39.260540</td>\n",
" <td>82.722458</td>\n",
" <td>2040405.0</td>\n",
" <td>8012.0</td>\n",
" <td>...</td>\n",
" <td>8</td>\n",
" <td>20</td>\n",
" <td>horizontal</td>\n",
" <td>0.744948</td>\n",
" <td>0.052632</td>\n",
" <td>0.015291</td>\n",
" <td>medium_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.733557</td>\n",
" <td>0.744948</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154807</th>\n",
" <td>5124510.0</td>\n",
" <td>234.137426</td>\n",
" <td>15.0</td>\n",
" <td>-139.0</td>\n",
" <td>512576.260995</td>\n",
" <td>121776.663075</td>\n",
" <td>66.560300</td>\n",
" <td>226.093454</td>\n",
" <td>1018659.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>15</td>\n",
" <td>horizontal</td>\n",
" <td>0.861033</td>\n",
" <td>0.000000</td>\n",
" <td>0.002212</td>\n",
" <td>shallow_tilt</td>\n",
" <td>N</td>\n",
" <td>0.859128</td>\n",
" <td>0.861033</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154808</th>\n",
" <td>5124511.0</td>\n",
" <td>232.447102</td>\n",
" <td>16.0</td>\n",
" <td>41.0</td>\n",
" <td>512570.079754</td>\n",
" <td>121769.520367</td>\n",
" <td>66.292584</td>\n",
" <td>222.913017</td>\n",
" <td>1018659.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>16</td>\n",
" <td>horizontal</td>\n",
" <td>0.867294</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>shallow_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.867294</td>\n",
" <td>0.867294</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154809</th>\n",
" <td>5124512.0</td>\n",
" <td>131.925651</td>\n",
" <td>29.0</td>\n",
" <td>121.0</td>\n",
" <td>512861.419320</td>\n",
" <td>121844.774678</td>\n",
" <td>55.702429</td>\n",
" <td>114.847781</td>\n",
" <td>1018654.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>29</td>\n",
" <td>vertical</td>\n",
" <td>0.800451</td>\n",
" <td>0.033333</td>\n",
" <td>0.087146</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.675339</td>\n",
" <td>0.739811</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154810</th>\n",
" <td>5124513.0</td>\n",
" <td>137.339196</td>\n",
" <td>28.0</td>\n",
" <td>-59.0</td>\n",
" <td>512865.854189</td>\n",
" <td>121842.120366</td>\n",
" <td>56.243851</td>\n",
" <td>121.027343</td>\n",
" <td>1018654.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>28</td>\n",
" <td>vertical</td>\n",
" <td>0.768899</td>\n",
" <td>0.000000</td>\n",
" <td>0.004124</td>\n",
" <td>medium_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.765728</td>\n",
" <td>0.768899</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154811</th>\n",
" <td>5124514.0</td>\n",
" <td>21.008432</td>\n",
" <td>23.0</td>\n",
" <td>-150.0</td>\n",
" <td>512862.686744</td>\n",
" <td>121857.263294</td>\n",
" <td>23.119281</td>\n",
" <td>19.328343</td>\n",
" <td>1018654.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>6</td>\n",
" <td>23</td>\n",
" <td>vertical</td>\n",
" <td>0.380799</td>\n",
" <td>0.000000</td>\n",
" <td>0.129870</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.331345</td>\n",
" <td>0.380799</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154812</th>\n",
" <td>5124515.0</td>\n",
" <td>21.541363</td>\n",
" <td>19.0</td>\n",
" <td>30.0</td>\n",
" <td>512860.734800</td>\n",
" <td>121855.152708</td>\n",
" <td>19.585625</td>\n",
" <td>20.336518</td>\n",
" <td>1018654.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>19</td>\n",
" <td>equal</td>\n",
" <td>0.445654</td>\n",
" <td>0.000000</td>\n",
" <td>0.123457</td>\n",
" <td>shallow_tilt</td>\n",
" <td>SW</td>\n",
" <td>0.390635</td>\n",
" <td>0.445654</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154813</th>\n",
" <td>5124516.0</td>\n",
" <td>33.342276</td>\n",
" <td>17.0</td>\n",
" <td>-58.0</td>\n",
" <td>512857.342542</td>\n",
" <td>121829.041410</td>\n",
" <td>24.377198</td>\n",
" <td>31.954253</td>\n",
" <td>1018654.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>17</td>\n",
" <td>vertical</td>\n",
" <td>0.671820</td>\n",
" <td>0.125000</td>\n",
" <td>0.570312</td>\n",
" <td>shallow_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.288673</td>\n",
" <td>0.671820</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154814</th>\n",
" <td>5124517.0</td>\n",
" <td>43.358052</td>\n",
" <td>13.0</td>\n",
" <td>122.0</td>\n",
" <td>512853.537208</td>\n",
" <td>121831.368979</td>\n",
" <td>26.787103</td>\n",
" <td>42.321731</td>\n",
" <td>1018654.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>13</td>\n",
" <td>horizontal</td>\n",
" <td>0.590432</td>\n",
" <td>0.000000</td>\n",
" <td>0.470588</td>\n",
" <td>shallow_tilt</td>\n",
" <td>N</td>\n",
" <td>0.312582</td>\n",
" <td>0.590432</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154815</th>\n",
" <td>5124518.0</td>\n",
" <td>34.768271</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>512851.492252</td>\n",
" <td>121838.457750</td>\n",
" <td>29.085365</td>\n",
" <td>34.768271</td>\n",
" <td>1018654.0</td>\n",
" <td>8011.0</td>\n",
" <td>...</td>\n",
" <td>6</td>\n",
" <td>30</td>\n",
" <td>vertical</td>\n",
" <td>0.119561</td>\n",
" <td>0.111111</td>\n",
" <td>0.231884</td>\n",
" <td>flat</td>\n",
" <td>S</td>\n",
" <td>0.091837</td>\n",
" <td>0.119561</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154816</th>\n",
" <td>5124519.0</td>\n",
" <td>32.262272</td>\n",
" <td>7.0</td>\n",
" <td>-62.0</td>\n",
" <td>512889.292856</td>\n",
" <td>121962.982921</td>\n",
" <td>22.665441</td>\n",
" <td>32.006156</td>\n",
" <td>1018655.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>7</td>\n",
" <td>vertical</td>\n",
" <td>0.595122</td>\n",
" <td>0.000000</td>\n",
" <td>0.375000</td>\n",
" <td>shallow_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.371951</td>\n",
" <td>0.595122</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154817</th>\n",
" <td>5124520.0</td>\n",
" <td>14.249623</td>\n",
" <td>25.0</td>\n",
" <td>118.0</td>\n",
" <td>512885.599017</td>\n",
" <td>121964.977036</td>\n",
" <td>15.514710</td>\n",
" <td>12.886922</td>\n",
" <td>1018655.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>5</td>\n",
" <td>25</td>\n",
" <td>vertical</td>\n",
" <td>0.449135</td>\n",
" <td>0.500000</td>\n",
" <td>0.250000</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.336851</td>\n",
" <td>0.449135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154818</th>\n",
" <td>5124523.0</td>\n",
" <td>202.860586</td>\n",
" <td>26.0</td>\n",
" <td>-65.0</td>\n",
" <td>512907.355343</td>\n",
" <td>121907.640275</td>\n",
" <td>69.264065</td>\n",
" <td>181.708205</td>\n",
" <td>1018655.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>26</td>\n",
" <td>vertical</td>\n",
" <td>0.836042</td>\n",
" <td>0.022222</td>\n",
" <td>0.042582</td>\n",
" <td>medium_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.800441</td>\n",
" <td>0.836042</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154819</th>\n",
" <td>5124524.0</td>\n",
" <td>221.668609</td>\n",
" <td>25.0</td>\n",
" <td>115.0</td>\n",
" <td>512901.324171</td>\n",
" <td>121910.827716</td>\n",
" <td>72.136766</td>\n",
" <td>201.586966</td>\n",
" <td>1018655.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>6</td>\n",
" <td>25</td>\n",
" <td>horizontal</td>\n",
" <td>0.692926</td>\n",
" <td>0.102041</td>\n",
" <td>0.042131</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.663732</td>\n",
" <td>0.692926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154820</th>\n",
" <td>5124525.0</td>\n",
" <td>126.405824</td>\n",
" <td>22.0</td>\n",
" <td>118.0</td>\n",
" <td>512801.107921</td>\n",
" <td>121763.322478</td>\n",
" <td>43.276794</td>\n",
" <td>116.796274</td>\n",
" <td>1018651.0</td>\n",
" <td>8013.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>22</td>\n",
" <td>equal</td>\n",
" <td>0.759459</td>\n",
" <td>0.035714</td>\n",
" <td>0.012876</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.749680</td>\n",
" <td>0.759459</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154821</th>\n",
" <td>5124526.0</td>\n",
" <td>126.408740</td>\n",
" <td>22.0</td>\n",
" <td>-62.0</td>\n",
" <td>512810.176759</td>\n",
" <td>121758.418405</td>\n",
" <td>43.277184</td>\n",
" <td>116.797944</td>\n",
" <td>1018651.0</td>\n",
" <td>8013.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>22</td>\n",
" <td>equal</td>\n",
" <td>0.759441</td>\n",
" <td>0.000000</td>\n",
" <td>0.040598</td>\n",
" <td>medium_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.728609</td>\n",
" <td>0.759441</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154822</th>\n",
" <td>5124527.0</td>\n",
" <td>17.738624</td>\n",
" <td>32.0</td>\n",
" <td>-67.0</td>\n",
" <td>512895.656423</td>\n",
" <td>121945.700714</td>\n",
" <td>16.399780</td>\n",
" <td>14.964642</td>\n",
" <td>1018655.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>32</td>\n",
" <td>equal</td>\n",
" <td>0.360795</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>medium_tilt</td>\n",
" <td>SE</td>\n",
" <td>0.360795</td>\n",
" <td>0.360795</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154823</th>\n",
" <td>5124528.0</td>\n",
" <td>17.671450</td>\n",
" <td>33.0</td>\n",
" <td>113.0</td>\n",
" <td>512893.143353</td>\n",
" <td>121946.778198</td>\n",
" <td>16.370630</td>\n",
" <td>14.885036</td>\n",
" <td>1018655.0</td>\n",
" <td>8014.0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>33</td>\n",
" <td>equal</td>\n",
" <td>0.362166</td>\n",
" <td>0.000000</td>\n",
" <td>0.016393</td>\n",
" <td>medium_tilt</td>\n",
" <td>N</td>\n",
" <td>0.356229</td>\n",
" <td>0.362166</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>154824 rows × 28 columns</p>\n",
"</div>"
],
"text/plain": [
" DF_UID FLAECHE NEIGUNG AUSRICHTUNG XCOORD \\\n",
"0 4817410.0 71.487047 10.0 127.0 503491.325015 \n",
"1 4817425.0 36.859836 37.0 33.0 503503.812619 \n",
"2 4817426.0 51.333864 31.0 -57.0 503509.783165 \n",
"3 4817427.0 36.861447 37.0 -147.0 503510.594159 \n",
"4 4817428.0 81.256555 28.0 123.0 503504.226918 \n",
"5 4817429.0 11.397236 27.0 -144.0 503512.070989 \n",
"6 4817431.0 174.501987 31.0 -147.0 503503.978942 \n",
"7 4817432.0 174.108293 31.0 33.0 503500.517066 \n",
"8 4817433.0 69.216255 26.0 33.0 503510.917446 \n",
"9 4817434.0 26.716480 31.0 -147.0 503517.020358 \n",
"10 4817435.0 26.018729 31.0 -147.0 503507.806109 \n",
"11 4817436.0 13.309012 33.0 123.0 503512.471353 \n",
"12 4817437.0 13.503089 32.0 -57.0 503514.586126 \n",
"13 4817438.0 130.038144 26.0 -144.0 503951.193324 \n",
"14 4817439.0 126.475108 26.0 36.0 503948.788882 \n",
"15 4817440.0 47.540096 37.0 -144.0 503996.949571 \n",
"16 4817441.0 35.497241 32.0 36.0 503994.863047 \n",
"17 4817442.0 49.847956 38.0 36.0 504003.468131 \n",
"18 4817448.0 34.963254 28.0 -145.0 503922.898105 \n",
"19 4817449.0 19.979434 7.0 35.0 503916.075512 \n",
"20 4817450.0 21.119847 18.0 -144.0 503936.461763 \n",
"21 4817451.0 21.374411 19.0 36.0 503934.470464 \n",
"22 4817452.0 68.854261 35.0 -140.0 504222.101990 \n",
"23 4817453.0 52.296595 34.0 40.0 504219.058562 \n",
"24 4817458.0 258.858167 34.0 127.0 504246.524168 \n",
"25 4817459.0 260.507359 30.0 -49.0 504253.910958 \n",
"26 4817460.0 33.455253 24.0 -142.0 504252.873380 \n",
"27 4817461.0 45.821417 22.0 32.0 504249.859870 \n",
"28 4817463.0 82.400929 33.0 -50.0 504157.851075 \n",
"29 4817464.0 78.771912 31.0 130.0 504150.396646 \n",
"... ... ... ... ... ... \n",
"154794 5124495.0 27.490066 21.0 116.0 512507.153297 \n",
"154795 5124496.0 33.733199 11.0 30.0 512653.714458 \n",
"154796 5124497.0 139.413591 30.0 -60.0 512727.853591 \n",
"154797 5124498.0 137.530298 30.0 120.0 512722.012941 \n",
"154798 5124499.0 92.630815 7.0 -150.0 512731.300787 \n",
"154799 5124500.0 44.081253 7.0 -148.0 512734.614676 \n",
"154800 5124502.0 14.119724 11.0 -147.0 512729.165421 \n",
"154801 5124503.0 36.753693 21.0 122.0 512683.971180 \n",
"154802 5124505.0 36.179539 19.0 -58.0 512689.565868 \n",
"154803 5124506.0 57.609988 17.0 -57.0 512685.874412 \n",
"154804 5124507.0 57.882063 22.0 122.0 512679.975021 \n",
"154805 5124508.0 35.898733 22.0 -153.0 512676.571716 \n",
"154806 5124509.0 88.059840 20.0 27.0 512674.020870 \n",
"154807 5124510.0 234.137426 15.0 -139.0 512576.260995 \n",
"154808 5124511.0 232.447102 16.0 41.0 512570.079754 \n",
"154809 5124512.0 131.925651 29.0 121.0 512861.419320 \n",
"154810 5124513.0 137.339196 28.0 -59.0 512865.854189 \n",
"154811 5124514.0 21.008432 23.0 -150.0 512862.686744 \n",
"154812 5124515.0 21.541363 19.0 30.0 512860.734800 \n",
"154813 5124516.0 33.342276 17.0 -58.0 512857.342542 \n",
"154814 5124517.0 43.358052 13.0 122.0 512853.537208 \n",
"154815 5124518.0 34.768271 0.0 0.0 512851.492252 \n",
"154816 5124519.0 32.262272 7.0 -62.0 512889.292856 \n",
"154817 5124520.0 14.249623 25.0 118.0 512885.599017 \n",
"154818 5124523.0 202.860586 26.0 -65.0 512907.355343 \n",
"154819 5124524.0 221.668609 25.0 115.0 512901.324171 \n",
"154820 5124525.0 126.405824 22.0 118.0 512801.107921 \n",
"154821 5124526.0 126.408740 22.0 -62.0 512810.176759 \n",
"154822 5124527.0 17.738624 32.0 -67.0 512895.656423 \n",
"154823 5124528.0 17.671450 33.0 113.0 512893.143353 \n",
"\n",
" YCOORD Shape_Length Shape_Area GWR_EGID GBAUP \\\n",
"0 134197.490397 33.936595 70.390620 295070969.0 8011.0 \n",
"1 134131.833522 28.208608 29.339500 1004090.0 8012.0 \n",
"2 134135.282805 40.053428 44.043504 1004090.0 8012.0 \n",
"3 134142.188986 28.210273 29.341346 1004090.0 8012.0 \n",
"4 134138.960671 37.840077 71.574129 1004090.0 8012.0 \n",
"5 134135.795686 15.417311 10.154872 1004090.0 8012.0 \n",
"6 134181.171146 59.815925 149.165008 1004088.0 8011.0 \n",
"7 134175.889168 59.775896 148.702405 1004088.0 8011.0 \n",
"8 134191.713704 45.633223 61.997846 295084893.0 8011.0 \n",
"9 134191.118711 23.687927 22.959133 295084893.0 8011.0 \n",
"10 134197.114437 23.199036 22.360589 295084893.0 8011.0 \n",
"11 134196.622116 15.096068 11.164928 295084893.0 8011.0 \n",
"12 134195.245953 15.198331 11.396747 295084893.0 8011.0 \n",
"13 134195.306644 64.584475 117.365353 295084994.0 8014.0 \n",
"14 134191.981218 64.301850 113.406403 295084994.0 8014.0 \n",
"15 134161.244934 27.081498 37.981483 1004076.0 8012.0 \n",
"16 134158.375583 25.402378 29.945648 1004076.0 8012.0 \n",
"17 134152.306087 29.835723 39.429900 1004076.0 8012.0 \n",
"18 134216.939359 29.062031 30.741322 1004089.0 8012.0 \n",
"19 134213.701005 17.895750 19.831984 1004089.0 8012.0 \n",
"20 134203.761986 18.414721 20.066844 295084994.0 8014.0 \n",
"21 134200.829905 19.727025 20.261942 295084994.0 8014.0 \n",
"22 134017.187739 31.767443 56.268749 1004049.0 8011.0 \n",
"23 134013.574920 29.327904 43.406040 1004049.0 8011.0 \n",
"24 134078.107216 66.270016 215.837030 1004035.0 8011.0 \n",
"25 134072.701545 66.856008 225.390527 1004035.0 8011.0 \n",
"26 134059.252231 24.705455 30.633213 1004035.0 8011.0 \n",
"27 134055.974734 27.196876 42.462233 1004035.0 8011.0 \n",
"28 134078.914455 32.942705 69.128758 1004073.0 8011.0 \n",
"29 134085.492644 32.609685 67.373176 1004073.0 8011.0 \n",
"... ... ... ... ... ... \n",
"154794 121868.767886 24.997104 25.656416 295081617.0 8017.0 \n",
"154795 121846.443211 27.509294 33.153466 1018650.0 8015.0 \n",
"154796 121799.313992 54.005430 120.493402 1018653.0 8012.0 \n",
"154797 121802.781737 53.905711 119.641777 1018653.0 8012.0 \n",
"154798 121811.881398 47.143675 91.927158 1018653.0 8012.0 \n",
"154799 121817.612632 28.618486 43.718502 1018653.0 8012.0 \n",
"154800 121822.382400 16.789635 13.863595 1018653.0 8012.0 \n",
"154801 121769.079140 23.556753 34.231614 2040405.0 8012.0 \n",
"154802 121765.612262 23.566963 34.201265 2040405.0 8012.0 \n",
"154803 121760.247993 37.797327 55.148314 2040405.0 8012.0 \n",
"154804 121763.783138 29.386703 53.499302 2040405.0 8012.0 \n",
"154805 121745.126015 30.833490 33.393443 2040405.0 8012.0 \n",
"154806 121740.921893 39.260540 82.722458 2040405.0 8012.0 \n",
"154807 121776.663075 66.560300 226.093454 1018659.0 8011.0 \n",
"154808 121769.520367 66.292584 222.913017 1018659.0 8011.0 \n",
"154809 121844.774678 55.702429 114.847781 1018654.0 8011.0 \n",
"154810 121842.120366 56.243851 121.027343 1018654.0 8011.0 \n",
"154811 121857.263294 23.119281 19.328343 1018654.0 8011.0 \n",
"154812 121855.152708 19.585625 20.336518 1018654.0 8011.0 \n",
"154813 121829.041410 24.377198 31.954253 1018654.0 8011.0 \n",
"154814 121831.368979 26.787103 42.321731 1018654.0 8011.0 \n",
"154815 121838.457750 29.085365 34.768271 1018654.0 8011.0 \n",
"154816 121962.982921 22.665441 32.006156 1018655.0 8014.0 \n",
"154817 121964.977036 15.514710 12.886922 1018655.0 8014.0 \n",
"154818 121907.640275 69.264065 181.708205 1018655.0 8014.0 \n",
"154819 121910.827716 72.136766 201.586966 1018655.0 8014.0 \n",
"154820 121763.322478 43.276794 116.796274 1018651.0 8013.0 \n",
"154821 121758.418405 43.277184 116.797944 1018651.0 8013.0 \n",
"154822 121945.700714 16.399780 14.964642 1018655.0 8014.0 \n",
"154823 121946.778198 16.370630 14.885036 1018655.0 8014.0 \n",
"\n",
" ... n_corners panel_tilt best_align \\\n",
"0 ... 4 10 vertical \n",
"1 ... 4 37 equal \n",
"2 ... 7 31 horizontal \n",
"3 ... 4 37 horizontal \n",
"4 ... 4 28 vertical \n",
"5 ... 3 27 equal \n",
"6 ... 4 31 vertical \n",
"7 ... 4 31 vertical \n",
"8 ... 5 26 horizontal \n",
"9 ... 5 31 horizontal \n",
"10 ... 5 31 horizontal \n",
"11 ... 6 33 equal \n",
"12 ... 5 32 vertical \n",
"13 ... 4 26 vertical \n",
"14 ... 4 26 vertical \n",
"15 ... 5 37 horizontal \n",
"16 ... 4 32 horizontal \n",
"17 ... 4 38 vertical \n",
"18 ... 4 28 horizontal \n",
"19 ... 4 7 vertical \n",
"20 ... 5 18 horizontal \n",
"21 ... 6 19 horizontal \n",
"22 ... 5 35 horizontal \n",
"23 ... 5 34 horizontal \n",
"24 ... 4 34 vertical \n",
"25 ... 5 30 vertical \n",
"26 ... 6 24 vertical \n",
"27 ... 4 22 horizontal \n",
"28 ... 6 33 horizontal \n",
"29 ... 5 31 vertical \n",
"... ... ... ... ... \n",
"154794 ... 5 21 horizontal \n",
"154795 ... 4 11 horizontal \n",
"154796 ... 9 30 horizontal \n",
"154797 ... 9 30 horizontal \n",
"154798 ... 8 7 equal \n",
"154799 ... 4 7 vertical \n",
"154800 ... 6 11 horizontal \n",
"154801 ... 5 21 equal \n",
"154802 ... 4 19 equal \n",
"154803 ... 8 17 vertical \n",
"154804 ... 5 22 vertical \n",
"154805 ... 7 22 horizontal \n",
"154806 ... 8 20 horizontal \n",
"154807 ... 4 15 horizontal \n",
"154808 ... 4 16 horizontal \n",
"154809 ... 5 29 vertical \n",
"154810 ... 4 28 vertical \n",
"154811 ... 6 23 vertical \n",
"154812 ... 4 19 equal \n",
"154813 ... 4 17 vertical \n",
"154814 ... 4 13 horizontal \n",
"154815 ... 6 30 vertical \n",
"154816 ... 5 7 vertical \n",
"154817 ... 5 25 vertical \n",
"154818 ... 4 26 vertical \n",
"154819 ... 6 25 horizontal \n",
"154820 ... 4 22 equal \n",
"154821 ... 4 22 equal \n",
"154822 ... 4 32 equal \n",
"154823 ... 4 33 equal \n",
"\n",
" panelled_area_ratio_ftr shaded_area_ratio_ftr shaded_area_ratio_tgt \\\n",
"0 0.805740 0.117647 0.166667 \n",
"1 0.390669 0.000000 0.386555 \n",
"2 0.155843 0.000000 0.119318 \n",
"3 0.390652 0.166667 0.322034 \n",
"4 0.708866 0.333333 0.077193 \n",
"5 0.140385 0.000000 0.075000 \n",
"6 0.806868 0.135135 0.020101 \n",
"7 0.808692 0.131579 0.161345 \n",
"8 0.508551 0.000000 0.060241 \n",
"9 0.479105 0.000000 0.000000 \n",
"10 0.491953 0.000000 0.000000 \n",
"11 0.240439 0.000000 0.266667 \n",
"12 0.236983 0.000000 0.000000 \n",
"13 0.664420 0.900000 0.785106 \n",
"14 0.683138 0.214286 0.556291 \n",
"15 0.673116 0.800000 0.973510 \n",
"16 0.450739 0.142857 0.725000 \n",
"17 0.641952 0.900000 0.961538 \n",
"18 0.457623 0.125000 0.975610 \n",
"19 0.640659 0.666667 0.925000 \n",
"20 0.454549 0.000000 0.506173 \n",
"21 0.449135 0.000000 0.543210 \n",
"22 0.697125 0.142857 0.053333 \n",
"23 0.734273 0.100000 0.034682 \n",
"24 0.834434 0.109091 0.030093 \n",
"25 0.767733 0.035714 0.008869 \n",
"26 0.478251 0.000000 0.008130 \n",
"27 0.593609 0.000000 0.005952 \n",
"28 0.621352 0.000000 0.003610 \n",
"29 0.710913 0.000000 0.092937 \n",
"... ... ... ... \n",
"154794 0.582028 0.000000 0.009434 \n",
"154795 0.569172 0.000000 0.015152 \n",
"154796 0.677122 0.000000 0.004149 \n",
"154797 0.639859 0.064516 0.041841 \n",
"154798 0.656369 0.045455 0.147541 \n",
"154799 0.653339 0.000000 0.022857 \n",
"154800 0.453267 0.000000 0.071429 \n",
"154801 0.522396 0.000000 0.000000 \n",
"154802 0.530687 0.000000 0.000000 \n",
"154803 0.694324 0.000000 0.105023 \n",
"154804 0.773988 0.076923 0.186916 \n",
"154805 0.356559 0.000000 0.014493 \n",
"154806 0.744948 0.052632 0.015291 \n",
"154807 0.861033 0.000000 0.002212 \n",
"154808 0.867294 0.000000 0.000000 \n",
"154809 0.800451 0.033333 0.087146 \n",
"154810 0.768899 0.000000 0.004124 \n",
"154811 0.380799 0.000000 0.129870 \n",
"154812 0.445654 0.000000 0.123457 \n",
"154813 0.671820 0.125000 0.570312 \n",
"154814 0.590432 0.000000 0.470588 \n",
"154815 0.119561 0.111111 0.231884 \n",
"154816 0.595122 0.000000 0.375000 \n",
"154817 0.449135 0.500000 0.250000 \n",
"154818 0.836042 0.022222 0.042582 \n",
"154819 0.692926 0.102041 0.042131 \n",
"154820 0.759459 0.035714 0.012876 \n",
"154821 0.759441 0.000000 0.040598 \n",
"154822 0.360795 0.000000 0.000000 \n",
"154823 0.362166 0.000000 0.016393 \n",
"\n",
" tilt_cat orientation_cat available_area_ratio \\\n",
"0 shallow_tilt N 0.671450 \n",
"1 medium_tilt SW 0.106513 \n",
"2 medium_tilt SE 0.137248 \n",
"3 medium_tilt N 0.147138 \n",
"4 medium_tilt N 0.654146 \n",
"5 medium_tilt N 0.129856 \n",
"6 medium_tilt N 0.790649 \n",
"7 medium_tilt SW 0.678214 \n",
"8 medium_tilt SW 0.260681 \n",
"9 medium_tilt N 0.479105 \n",
"10 medium_tilt N 0.491953 \n",
"11 medium_tilt N 0.176322 \n",
"12 medium_tilt SE 0.236983 \n",
"13 medium_tilt N 0.142780 \n",
"14 medium_tilt SW 0.303114 \n",
"15 medium_tilt N 0.017831 \n",
"16 medium_tilt SW 0.123953 \n",
"17 medium_tilt SW 0.024690 \n",
"18 medium_tilt N 0.011162 \n",
"19 shallow_tilt SW 0.048049 \n",
"20 shallow_tilt N 0.224469 \n",
"21 shallow_tilt SW 0.205161 \n",
"22 medium_tilt N 0.659945 \n",
"23 medium_tilt SW 0.649740 \n",
"24 medium_tilt N 0.809324 \n",
"25 medium_tilt SE 0.760923 \n",
"26 medium_tilt N 0.474363 \n",
"27 medium_tilt SW 0.590075 \n",
"28 medium_tilt SE 0.619109 \n",
"29 medium_tilt N 0.368482 \n",
"... ... ... ... \n",
"154794 medium_tilt N 0.576538 \n",
"154795 shallow_tilt SW 0.560548 \n",
"154796 medium_tilt SE 0.674312 \n",
"154797 medium_tilt N 0.613087 \n",
"154798 shallow_tilt N 0.559528 \n",
"154799 shallow_tilt N 0.638405 \n",
"154800 shallow_tilt N 0.420890 \n",
"154801 medium_tilt N 0.522396 \n",
"154802 shallow_tilt SE 0.530687 \n",
"154803 shallow_tilt SE 0.621404 \n",
"154804 medium_tilt N 0.629317 \n",
"154805 medium_tilt N 0.351391 \n",
"154806 medium_tilt SW 0.733557 \n",
"154807 shallow_tilt N 0.859128 \n",
"154808 shallow_tilt SW 0.867294 \n",
"154809 medium_tilt N 0.675339 \n",
"154810 medium_tilt SE 0.765728 \n",
"154811 medium_tilt N 0.331345 \n",
"154812 shallow_tilt SW 0.390635 \n",
"154813 shallow_tilt SE 0.288673 \n",
"154814 shallow_tilt N 0.312582 \n",
"154815 flat S 0.091837 \n",
"154816 shallow_tilt SE 0.371951 \n",
"154817 medium_tilt N 0.336851 \n",
"154818 medium_tilt SE 0.800441 \n",
"154819 medium_tilt N 0.663732 \n",
"154820 medium_tilt N 0.749680 \n",
"154821 medium_tilt SE 0.728609 \n",
"154822 medium_tilt SE 0.360795 \n",
"154823 medium_tilt N 0.356229 \n",
"\n",
" panelled_area_ratio_tgt \n",
"0 0.805740 \n",
"1 0.173631 \n",
"2 0.155843 \n",
"3 0.217029 \n",
"4 0.708866 \n",
"5 0.140385 \n",
"6 0.806868 \n",
"7 0.808692 \n",
"8 0.277391 \n",
"9 0.479105 \n",
"10 0.491953 \n",
"11 0.240439 \n",
"12 0.236983 \n",
"13 0.664420 \n",
"14 0.683138 \n",
"15 0.673116 \n",
"16 0.450739 \n",
"17 0.641952 \n",
"18 0.457623 \n",
"19 0.640659 \n",
"20 0.454549 \n",
"21 0.449135 \n",
"22 0.697125 \n",
"23 0.673084 \n",
"24 0.834434 \n",
"25 0.767733 \n",
"26 0.478251 \n",
"27 0.593609 \n",
"28 0.621352 \n",
"29 0.406236 \n",
"... ... \n",
"154794 0.582028 \n",
"154795 0.569172 \n",
"154796 0.677122 \n",
"154797 0.639859 \n",
"154798 0.656369 \n",
"154799 0.653339 \n",
"154800 0.453267 \n",
"154801 0.522396 \n",
"154802 0.530687 \n",
"154803 0.694324 \n",
"154804 0.773988 \n",
"154805 0.356559 \n",
"154806 0.744948 \n",
"154807 0.861033 \n",
"154808 0.867294 \n",
"154809 0.739811 \n",
"154810 0.768899 \n",
"154811 0.380799 \n",
"154812 0.445654 \n",
"154813 0.671820 \n",
"154814 0.590432 \n",
"154815 0.119561 \n",
"154816 0.595122 \n",
"154817 0.449135 \n",
"154818 0.836042 \n",
"154819 0.692926 \n",
"154820 0.759459 \n",
"154821 0.759441 \n",
"154822 0.360795 \n",
"154823 0.362166 \n",
"\n",
"[154824 rows x 28 columns]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"learning_table"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# MBE Approximation"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"MBE_shading = np.mean(training.shaded_area_ratio_tgt - training.shaded_area_ratio_ftr)\n",
"MBE_panels = np.mean(training.panelled_area_ratio_tgt - training.panelled_area_ratio_ftr)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"shading_pred = np.maximum( np.minimum( validation.shaded_area_ratio_ftr + MBE_shading , 1), 0)\n",
"panels_pred = np.maximum( np.minimum( validation.panelled_area_ratio_ftr.values + MBE_panels, 1), 0)\n",
"av_area_pred = (1 - shading_pred) * panels_pred"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MSE (shading): 0.043389\n",
"Validation MSE (panelling): 0.011387\n",
"Validation MSE (combined): 0.016567\n"
]
}
],
"source": [
"# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
"print( 'Validation MSE (shading): %f' %mse( shading_pred , validation.shaded_area_ratio_tgt ))\n",
"print( 'Validation MSE (panelling): %f' %mse( panels_pred , validation.panelled_area_ratio_tgt ))\n",
"print( 'Validation MSE (combined): %f' %mse( av_area_pred , validation.available_area_ratio ))"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation RMSE (shading): 0.208299\n",
"Validation RMSE (panelling): 0.106709\n",
"Validation RMSE (combined): 0.128714\n"
]
}
],
"source": [
"print( 'Validation RMSE (shading): %f' %np.sqrt( mse( shading_pred , validation.shaded_area_ratio_tgt )))\n",
"print( 'Validation RMSE (panelling): %f' %np.sqrt( mse( panels_pred , validation.panelled_area_ratio_tgt )))\n",
"print( 'Validation RMSE (combined): %f' %np.sqrt( mse( av_area_pred , validation.available_area_ratio )))"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MAE (shading): 0.142402\n",
"Validation MAE (panelling): 0.067125\n",
"Validation MAE (combined): 0.098143\n"
]
}
],
"source": [
"print( 'Validation MAE (shading): %f' %mae( shading_pred , validation.shaded_area_ratio_tgt ))\n",
"print( 'Validation MAE (panelling): %f' %mae( panels_pred , validation.panelled_area_ratio_tgt ))\n",
"print( 'Validation MAE (combined): %f' %mae( av_area_pred , validation.available_area_ratio ))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MBE (shading): -0.001925\n",
"Validation MBE (panelling): 0.001191\n",
"Validation MBE (combined): -0.006433\n"
]
}
],
"source": [
"print( 'Validation MBE (shading): %f' %np.mean( shading_pred - validation.shaded_area_ratio_tgt ))\n",
"print( 'Validation MBE (panelling): %f' %np.mean( panels_pred - validation.panelled_area_ratio_tgt ))\n",
"print( 'Validation MBE (combined): %f' %np.mean( av_area_pred - validation.available_area_ratio ))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Random Forest"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"n_est = 200\n",
"# tree_depth = 10\n",
"\n",
"x = training.loc[ : , feature_names ]\n",
"t = training.loc[ : , label_name ]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU time: 354.36 seconds\n",
"Wall clock time: 94.32 seconds\n"
]
}
],
"source": [
"RF = RandomForestRegressor(n_estimators = n_est, criterion = 'mse', n_jobs = -1)\n",
"\n",
"tt = util.Timer()\n",
"RF.fit(x,t)\n",
"tt.stop()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Training MSE: 0.002798\n"
]
}
],
"source": [
"y = RF.predict(x)\n",
"print( 'Training MSE: %f' %mse(y,t))"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MSE: 0.020185\n"
]
}
],
"source": [
"x_val = validation.loc[ : , feature_names ]\n",
"t_val = validation.loc[ : , label_name]\n",
"\n",
"y_val = RF.predict(x_val)\n",
"print( 'Validation MSE: %f' %mse(y_val,t_val))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation RMSE: 0.142075\n",
"Validation MAE: 0.087015\n",
"Validation MBE: 0.001355\n"
]
}
],
"source": [
"# FOR A SINGLE TARGET (available_area_ratio)\n",
"print( 'Validation RMSE: %f' %np.sqrt(mse(y_val,t_val)))\n",
"print( 'Validation MAE: %f' %mae(y_val,t_val))\n",
"print( 'Validation MBE: %f' %np.mean( y_val - t_val.values))"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MSE (shading): 0.031665\n",
"Validation MSE (panelling): 0.008705\n",
"Validation MSE (combined): 0.012994\n"
]
}
],
"source": [
"# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
"print( 'Validation MSE (shading): %f' %mse(y_val[:,0],t_val.iloc[:,0]))\n",
"print( 'Validation MSE (panelling): %f' %mse(y_val[:,1],t_val.iloc[:,1]))\n",
"print( 'Validation MSE (combined): %f' %mse((1 - y_val[:,0]) * y_val[:,1],( 1 - t_val.iloc[:,0]) * t_val.iloc[:,1]))"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation RMSE (shading): 0.177948\n",
"Validation RMSE (panelling): 0.093302\n",
"Validation RMSE (combined): 0.113991\n"
]
}
],
"source": [
"# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
"print( 'Validation RMSE (shading): %f' %np.sqrt(mse(y_val[:,0],t_val.iloc[:,0])))\n",
"print( 'Validation RMSE (panelling): %f' %np.sqrt(mse(y_val[:,1],t_val.iloc[:,1])))\n",
"print( 'Validation RMSE (combined): %f' %np.sqrt(mse((1 - y_val[:,0]) * y_val[:,1],( 1 - t_val.iloc[:,0]) * t_val.iloc[:,1])))"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MAE (shading): 0.118576\n",
"Validation MAE (panelling): 0.055455\n",
"Validation MAE (combined): 0.082580\n"
]
}
],
"source": [
"# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
"print( 'Validation MAE (shading): %f' %mae(y_val[:,0],t_val.iloc[:,0]))\n",
"print( 'Validation MAE (panelling): %f' %mae(y_val[:,1],t_val.iloc[:,1]))\n",
"print( 'Validation MAE (combined): %f' %mae((1 - y_val[:,0]) * y_val[:,1],( 1 - t_val.iloc[:,0]) * t_val.iloc[:,1]))"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MBE (shading): 0.005875\n",
"Validation MBE (panelling): -0.002592\n",
"Validation MBE (combined): -0.005540\n"
]
}
],
"source": [
"# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
"print( 'Validation MBE (shading): %f' %np.mean(y_val[:,0]-t_val.iloc[:,0]))\n",
"print( 'Validation MBE (panelling): %f' %np.mean(y_val[:,1]-t_val.iloc[:,1]))\n",
"print( 'Validation MBE (combined): %f' %np.mean((1 - y_val[:,0]) * y_val[:,1]-( 1 - t_val.iloc[:,0]) * t_val.iloc[:,1]))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Feature importance (all features)"
]
},
{
"cell_type": "code",
"execution_count": 171,
"metadata": {},
"outputs": [],
"source": [
"n_features = len(x.columns)\n",
"importance = np.mean([tree.feature_importances_ for tree in RF.estimators_],axis=0)\n",
"std = np.std([tree.feature_importances_ for tree in RF.estimators_],axis=0)\n",
"ind = np.argsort(importance)[-n_features:]"
]
},
{
"cell_type": "code",
"execution_count": 172,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0.20015829 0.41930545 0.02777562 0.05334828 0.03734801 0.04529424\n",
" 0.04283491 0.01341948 0.0254214 0.01620846 0.03105053 0.01006987\n",
" 0.04333051 0.03443496]\n",
"[0.00249603 0.0019589 0.00209606 0.00147573 0.00216068 0.00234554\n",
" 0.00184351 0.00064939 0.00200405 0.00068381 0.00102614 0.00057901\n",
" 0.00125957 0.00099208]\n",
"[11 7 9 8 2 10 13 4 6 12 5 3 0 1]\n"
]
}
],
"source": [
"print(importance)\n",
"print(std)\n",
"print(ind)"
]
},
{
"cell_type": "code",
"execution_count": 173,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['shaded_area_ratio_ftr', 'panelled_area_ratio_ftr', 'NEIGUNG',\n",
" 'AUSRICHTUNG', 'FLAECHE', 'Shape_Length', 'Shape_Ratio', 'n_corners',\n",
" 'panel_tilt', 'GASTW', 'GBAUP', 'GKAT', 'GAREA', 'n_neighbors_100'],\n",
" dtype='object')\n"
]
}
],
"source": [
"# rename features for plotting:\n",
"print(x.columns)\n",
"feature_names = x.columns # np.asarray(['ratio_2m', 'n_shaded', 'n_unshaded', 'n_cells', 'roof_tilt', 'roof_orientation', 'roof_area', 'roof_perim', 'roof_shape_idx', 'building_levels', 'building_period', 'building_category', 'building_area', 'neighbor_count'])"
]
},
{
"cell_type": "code",
"execution_count": 174,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
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" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
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"\n",
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" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"ax = plt.axes()\n",
"plt.title(\"Feature Importances for Random Forest (%d trees)\\n Validation MSE: %f\" %(n_est, mse(y_val,t_val)))\n",
"plt.barh(range(n_features),importance[ind],\n",
" color=\"r\", xerr=std[ind], alpha=0.4, align=\"center\")\n",
"plt.yticks(range(n_features), feature_names[ind])\n",
"plt.ylim([-1, len(ind)])\n",
"plt.show()\n",
"\n",
"# pos : [left, bottom, width, height]\n",
"ax.set_position( [0.23, 0.11, 0.7, 0.77] )\n",
"plt.savefig('Feature_importances.png', dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# raw data\n",
"plt.figure()\n",
"bins=25\n",
"plt.hist(av_area_ratio_ftr, range=(0,1), bins=bins, facecolor='w',edgecolor='r', alpha=0.5, density=True, label = 'Approx. ratio')\n",
"plt.hist(learning_table.available_area_ratio, range=(0,1), bins=bins, density=True, facecolor='g', alpha=0.2, edgecolor='g', label = '\"Ground truth\"')\n",
"plt.hist(y_val, bins=bins, range=(0,1), density=True, facecolor='b', alpha=0.2, edgecolor='b', label = 'RF - validation')\n",
"plt.legend()\n",
"plt.title('Distribution of available area ratio')\n",
"plt.show()\n",
"plt.savefig('availabe_area_hist.png', dpi=300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Cross-validation (alternative to fitting and prediction):"
]
},
{
"cell_type": "code",
"execution_count": 163,
"metadata": {},
"outputs": [],
"source": [
"x_crossval = learning_table.loc[ ind , feature_names ]\n",
"t_crossval = learning_table.loc[ ind , label_name ]"
]
},
{
"cell_type": "code",
"execution_count": 164,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU time: 1.59 seconds\n",
"Wall clock time: 1390.94 seconds\n"
]
}
],
"source": [
"tt = util.Timer()\n",
"RF_crossval = RandomForestRegressor(n_estimators = n_est, n_jobs = -1)\n",
" \n",
"y_crossval = cross_val_predict(RF_crossval, x_crossval, t_crossval, cv=5, n_jobs=-1)\n",
"mse_crossval = mse(y_crossval, t_crossval)\n",
"\n",
"tt.stop()"
]
},
{
"cell_type": "code",
"execution_count": 165,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.0190154455691502"
]
},
"execution_count": 165,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mse_crossval"
]
},
{
"cell_type": "code",
"execution_count": 166,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MSE (shading): 0.031725\n",
"Validation MSE (panelling): 0.006306\n",
"Validation MSE (combined): 0.011516\n"
]
}
],
"source": [
"# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
"print( 'Validation MSE (shading): %f' %mse(y_crossval[:,0],t_crossval.iloc[:,0]))\n",
"print( 'Validation MSE (panelling): %f' %mse(y_crossval[:,1],t_crossval.iloc[:,1]))\n",
"print( 'Validation MSE (combined): %f' %mse((1 - y_crossval[:,0]) * y_crossval[:,1],( 1 - t_crossval.iloc[:,0]) * t_crossval.iloc[:,1]))"
]
},
{
"cell_type": "code",
"execution_count": 167,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation RMSE (shading): 0.178115\n",
"Validation RMSE (panelling): 0.079411\n",
"Validation RMSE (combined): 0.107312\n"
]
}
],
"source": [
"# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
"print( 'Validation RMSE (shading): %f' %np.sqrt(mse(y_crossval[:,0],t_crossval.iloc[:,0])))\n",
"print( 'Validation RMSE (panelling): %f' %np.sqrt(mse(y_crossval[:,1],t_crossval.iloc[:,1])))\n",
"print( 'Validation RMSE (combined): %f' %np.sqrt(mse((1 - y_crossval[:,0]) * y_crossval[:,1],( 1 - t_crossval.iloc[:,0]) * t_crossval.iloc[:,1])))"
]
},
{
"cell_type": "code",
"execution_count": 168,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MAE (shading): 0.118970\n",
"Validation MAE (panelling): 0.046132\n",
"Validation MAE (combined): 0.077618\n"
]
}
],
"source": [
"# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
"print( 'Validation MAE (shading): %f' %mae(y_crossval[:,0],t_crossval.iloc[:,0]))\n",
"print( 'Validation MAE (panelling): %f' %mae(y_crossval[:,1],t_crossval.iloc[:,1]))\n",
"print( 'Validation MAE (combined): %f' %mae((1 - y_crossval[:,0]) * y_crossval[:,1],( 1 - t_crossval.iloc[:,0]) * t_crossval.iloc[:,1]))"
]
},
{
"cell_type": "code",
"execution_count": 169,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Validation MBE (shading): 0.006775\n",
"Validation MBE (panelling): -0.002807\n",
"Validation MBE (combined): -0.005909\n"
]
}
],
"source": [
"# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
"print( 'Validation MBE (shading): %f' %np.mean(y_crossval[:,0]-t_crossval.iloc[:,0]))\n",
"print( 'Validation MBE (panelling): %f' %np.mean(y_crossval[:,1]-t_crossval.iloc[:,1]))\n",
"print( 'Validation MBE (combined): %f' %np.mean((1 - y_crossval[:,0]) * y_crossval[:,1]-( 1 - t_crossval.iloc[:,0]) * t_crossval.iloc[:,1]))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Validation with leaving features out"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"shuffle = np.random.permutation(len(learning_table))\n",
"shuffled_table = learning_table.loc[ shuffle , :]"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [],
"source": [
"fixed_features = ['fully_shaded_ratio_2m', 'NEIGUNG', 'perim_ratio', 'AUSRICHTUN']\n",
"maybe_features = ['GAREA', 'SHAPE_Leng','GBAUP', 'GASTW'] # TAKEN OUT FLAECHE (lowest marginal improvement)\n",
"test_features = np.hstack([fixed_features, maybe_features])\n",
"\n",
"T = shuffled_table.loc[ : , label_name ]"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Leaving out GAREA: 0.026506\n",
"Leaving out SHAPE_Leng: 0.026597\n",
"Leaving out GBAUP: 0.026666\n",
"Leaving out GASTW: 0.026386\n"
]
}
],
"source": [
"MSE_leaveout = np.zeros(len(maybe_features))\n",
"n_est = 500\n",
"tree_depth = 100\n",
"\n",
"for drop_feature in maybe_features:\n",
" # leave one test feature out\n",
" X = shuffled_table.loc[ : , test_features ].drop(drop_feature, axis=1)\n",
" \n",
" RF_test = RandomForestRegressor(n_jobs = -1) # n_estimators = n_est, max_depth = tree_depth, \n",
" Y = cross_val_predict(RF_test, X, T, cv=5, n_jobs=-1)\n",
" \n",
" print(\"Leaving out %s: %f\" %(drop_feature, mse(Y, T)))\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Cross-validation and feature selection"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [],
"source": [
"n_crossval = 10\n",
"all_features_sorted = np.asarray(all_features)[ind]\n",
"MSE = np.zeros(n_features)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"RF_test = RandomForestRegressor(n_estimators = n_est, max_depth = tree_depth, n_jobs = -1)\n",
"Y = cross_val_predict(RF_test, X1, T, cv=5, n_jobs=-1)\n",
"print(mse(Y, T))"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Iteration 1 out of 14\n",
"CPU time: 0.37 seconds\n",
"Wall clock time: 134.33 seconds\n",
"Iteration 2 out of 14\n",
"CPU time: 0.43 seconds\n",
"Wall clock time: 142.81 seconds\n",
"Iteration 3 out of 14\n",
"CPU time: 0.42 seconds\n",
"Wall clock time: 128.43 seconds\n",
"Iteration 4 out of 14\n",
"CPU time: 0.36 seconds\n",
"Wall clock time: 115.09 seconds\n",
"Iteration 5 out of 14\n",
"CPU time: 0.34 seconds\n",
"Wall clock time: 110.06 seconds\n",
"Iteration 6 out of 14\n",
"CPU time: 0.25 seconds\n",
"Wall clock time: 104.81 seconds\n",
"Iteration 7 out of 14\n",
"CPU time: 0.42 seconds\n",
"Wall clock time: 95.86 seconds\n",
"Iteration 8 out of 14\n",
"CPU time: 0.23 seconds\n",
"Wall clock time: 88.49 seconds\n",
"Iteration 9 out of 14\n",
"CPU time: 0.20 seconds\n",
"Wall clock time: 72.49 seconds\n",
"Iteration 10 out of 14\n",
"CPU time: 0.19 seconds\n",
"Wall clock time: 56.79 seconds\n",
"Iteration 11 out of 14\n",
"CPU time: 0.18 seconds\n",
"Wall clock time: 42.77 seconds\n",
"Iteration 12 out of 14\n",
"CPU time: 0.17 seconds\n",
"Wall clock time: 36.34 seconds\n",
"Iteration 13 out of 14\n",
"CPU time: 0.15 seconds\n",
"Wall clock time: 10.90 seconds\n",
"Iteration 14 out of 14\n",
"CPU time: 0.15 seconds\n",
"Wall clock time: 5.84 seconds\n"
]
}
],
"source": [
"shuffle = np.random.permutation(len(learning_table))\n",
"shuffled_table = learning_table.loc[ shuffle , :]\n",
"\n",
"tt = util.Timer()\n",
"for i in range(n_features):\n",
" \n",
" print('Iteration %d out of %d' %(i+1, n_features))\n",
"\n",
" X = shuffled_table.loc[ : , all_features_sorted[ i : ] ]\n",
" t_cv = shuffled_table.loc[ : , label_name ]\n",
"\n",
" RF_CV = RandomForestRegressor(n_estimators = n_est, max_depth = tree_depth, n_jobs = -1)\n",
" y_CV = cross_val_predict(RF_CV, X, t_cv, cv=5, n_jobs=-1)\n",
"\n",
" MSE[i] = mse(y_CV, t_cv)\n",
" \n",
" tt.restart()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Visualisation"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"plt.bar(range(n_features,0,-1), MSE)\n",
"plt.title('Mean-squared error for different numbers of features')\n",
"plt.xlabel('Number of features')\n",
"plt.ylabel('Mean-squared error')\n",
"plt.show()\n",
"plt.savefig('MSE_varying_features.png', dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0.02356106 0.02355203 0.02354303 0.0235818 0.02361018 0.02373792\n",
" 0.02427768 0.02517083 0.02510396 0.02596514 0.02861912 0.03549382\n",
" 0.03489173 0.03438738]\n"
]
}
],
"source": [
"print(MSE)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(min(MSE)) # --> 10 features minimum, nearly the same error with 8 features"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"bins=20\n",
"plt.hist(learning_table.available_area_ratio,bins=bins, range=(0,1), density=True, facecolor='r', alpha=0.2, edgecolor='r', label = 'Available area ratio')\n",
"plt.hist(y, bins=bins, range=(0,1), density=True, facecolor='b', alpha=0.2, edgecolor='b', label = 'training')\n",
"plt.hist(y_val, bins=bins, range=(0,1), density=True, facecolor='g', alpha=0.2, edgecolor='g', label = 'RF - validation')\n",
"plt.legend()\n",
"plt.title('Distribution of predicted data')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plot random sample\n",
"Plot original value and corrected value for different roof IDs (random)"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"validation['prediction'] = ( 1 - y_val[:,0] ) * y_val[:,1]\n",
"validation_sample = validation.sample(30)"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['DF_UID', 'FLAECHE', 'NEIGUNG', 'AUSRICHTUNG', 'XCOORD', 'YCOORD',\n",
" 'Shape_Length', 'Shape_Area', 'GWR_EGID', 'GBAUP', 'GKAT', 'GAREA',\n",
" 'GASTW', 'GKODX', 'GKODY', 'Shape_Ratio', 'n_neighbors_100',\n",
" 'Estim_build_area', 'n_corners', 'panel_tilt', 'best_align',\n",
" 'panelled_area_ratio_ftr', 'panelled_area_ratio_tgt',\n",
" 'shaded_area_ratio_ftr', 'shaded_area_ratio_tgt', 'tilt_cat',\n",
" 'orientation_cat', 'available_area_ratio', 'prediction'],\n",
" dtype='object')"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"validation_sample.columns"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
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"output_type": "display_data"
},
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"Text(0.5,1,'Performance of available area ratio estimation')"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plt.figure()\n",
"plt.scatter(range(len(validation_sample)), (1-validation_sample.shaded_area_ratio_ftr) * validation_sample.panelled_area_ratio_ftr, facecolor='w',edgecolor='r', alpha=0.7, label = 'Approx. ratio')\n",
"plt.scatter(range(len(validation_sample)), validation_sample.available_area_ratio,facecolor='g', alpha=0.5, edgecolor='g', label = 'Target ratio')\n",
"plt.scatter(range(len(validation_sample)), validation_sample.prediction,facecolor='b', alpha=0.5, edgecolor='b', label = 'Corrected ratio')\n",
"plt.legend()\n",
"plt.xlabel('Rooftop sample (random)')\n",
"plt.ylabel('Available area ratio')\n",
"plt.title('Performance of available area ratio estimation')\n",
"# plt.savefig('random_sample_available_area.png', dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div id='d61e12df-2c70-4f85-8686-5501feddc104'></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"Text(0,0.5,'orientation')"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plt.figure(figsize=(10,3))\n",
"\n",
"plt.subplot(131)\n",
"var = horizon_50cm\n",
"plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(var.fully_shaded_ratio), s=2)\n",
"plt.xlabel('tilt')\n",
"plt.ylabel('orientation')\n",
"\n",
"plt.subplot(132)\n",
"var = x_crossval\n",
"plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(y_crossval), s=3)\n",
"plt.xlabel('tilt')\n",
"plt.ylabel('orientation')\n",
"\n",
"plt.subplot(133)\n",
"var = horizon_2m\n",
"plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(var.fully_shaded_ratio), s=2)\n",
"# plt.colorbar()\n",
"plt.xlabel('tilt')\n",
"plt.ylabel('orientation')"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"Text(0,0.5,'orientation')"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"var = horizon_2m\n",
"plt.figure()\n",
"plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(var.fully_shaded_ratio), s=3)\n",
"#var.mean_06_15h.hist(bins=100, range=(0,1))\n",
"plt.colorbar()\n",
"plt.xlabel('tilt')\n",
"plt.ylabel('orientation')"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"Text(0,0.5,'orientation')"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"var = x_crossval\n",
"plt.figure()\n",
"plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(y_crossval), s=3)\n",
"#var.mean_06_15h.hist(bins=100, range=(0,1))\n",
"plt.colorbar()\n",
"plt.xlabel('tilt')\n",
"plt.ylabel('orientation')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.1"
+ "version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
diff --git a/PV_comparison/Quadruple-check output.ipynb b/PV_comparison/Quadruple-check output.ipynb
index 6419e75..07fcfc4 100644
--- a/PV_comparison/Quadruple-check output.ipynb
+++ b/PV_comparison/Quadruple-check output.ipynb
@@ -1,2774 +1,2774 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
" from ._conv import register_converters as _register_converters\n"
]
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import xarray as xr\n",
"\n",
"import os\n",
"import util\n",
"\n",
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.colors import LinearSegmentedColormap"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"fp = '/work/hyenergy/output/solar_potential'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"PVpot = pd.read_csv(os.path.join(fp, 'technical_potential', 'pv_potential_annual_shared_v2.csv')).set_index('DF_UID')\n",
"# A_PV = pd.read_csv( os.path.join(fp, 'technical_potential', 'available_area_shared_v2.csv') )"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"roofs = pd.read_csv( os.path.join(fp, 'rooftop_link_info_v1.csv'), \n",
" usecols = ['DF_UID', 'ROOF_AREA', 'ROOF_TILT', 'ROOF_ASPECT']).set_index('DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>pv_potential_kWh_a_std</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>radiation_kWh_m2_a_std</th>\n",
" <th>available_area</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DF_UID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>239.8001</td>\n",
" <td>324.268393</td>\n",
" <td>1210.184846</td>\n",
" <td>309.039122</td>\n",
" <td>1.437423</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>474.558362</td>\n",
" <td>85.539804</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3891.6055</td>\n",
" <td>2071.079104</td>\n",
" <td>951.934814</td>\n",
" <td>239.814424</td>\n",
" <td>29.414390</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2022.1940</td>\n",
" <td>1044.604313</td>\n",
" <td>1029.797436</td>\n",
" <td>259.121816</td>\n",
" <td>14.224941</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>1030.4568</td>\n",
" <td>702.281552</td>\n",
" <td>711.799309</td>\n",
" <td>188.438262</td>\n",
" <td>10.472945</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" pv_potential_kWh_a pv_potential_kWh_a_std radiation_kWh_m2_a \\\n",
"DF_UID \n",
"1 239.8001 324.268393 1210.184846 \n",
"2 0.0000 0.000000 474.558362 \n",
"3 3891.6055 2071.079104 951.934814 \n",
"4 2022.1940 1044.604313 1029.797436 \n",
"5 1030.4568 702.281552 711.799309 \n",
"\n",
" radiation_kWh_m2_a_std available_area \n",
"DF_UID \n",
"1 309.039122 1.437423 \n",
"2 85.539804 0.000000 \n",
"3 239.814424 29.414390 \n",
"4 259.121816 14.224941 \n",
"5 188.438262 10.472945 "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PVpot.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>ROOF_AREA</th>\n",
" <th>ROOF_TILT</th>\n",
" <th>ROOF_ASPECT</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DF_UID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>15.948816</td>\n",
" <td>37</td>\n",
" <td>10.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>13.730555</td>\n",
" <td>44</td>\n",
" <td>-170.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>63.437476</td>\n",
" <td>12</td>\n",
" <td>-80.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>38.368910</td>\n",
" <td>33</td>\n",
" <td>-80.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>36.403273</td>\n",
" <td>35</td>\n",
" <td>100.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" ROOF_AREA ROOF_TILT ROOF_ASPECT\n",
"DF_UID \n",
"1 15.948816 37 10.0\n",
"2 13.730555 44 -170.0\n",
"3 63.437476 12 -80.0\n",
"4 38.368910 33 -80.0\n",
"5 36.403273 35 100.0"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roofs.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Step 1: Verify total roof area"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"644.586761460038"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Tilted roof area\n",
"roofs.ROOF_AREA.sum() / 1e6"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"581.5463334265614"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Projected floor area\n",
"(roofs.ROOF_AREA * np.cos(np.deg2rad(roofs.ROOF_TILT))).sum() / 1e6"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Step 2: Check total and suitable potential"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"suitable_roofs = ((abs(roofs.ROOF_ASPECT) <= 90) & (PVpot.available_area >= 8))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"38.52806094278898"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Total potential\n",
"PVpot.pv_potential_kWh_a.sum() / 1e9"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"24.579204950538326"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Suitable potential\n",
"PVpot[suitable_roofs].pv_potential_kWh_a.sum() / 1e9"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"25.287001530378213"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# No APV < 8m2 criterion:\n",
"PVpot[(abs(roofs.ROOF_ASPECT) <= 90)].pv_potential_kWh_a.sum() / 1e9"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"26.798686276747592"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Potential from Sonnendach criteria\n",
"PVpot[(roofs.ROOF_AREA >= 10) & (PVpot.radiation_kWh_m2_a >= 1000)].pv_potential_kWh_a.sum() / 1e9"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"381.335110357477"
]
},
"execution_count": 97,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Suitable roof area from Sonnendach roofs\n",
"roofs[(roofs.ROOF_AREA >= 10) & (PVpot.radiation_kWh_m2_a >= 1000)].ROOF_AREA.sum() / 1e6"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.34126681046169194"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Proportion of flat roofs\n",
"roofs[suitable_roofs & (roofs.ROOF_TILT == 0)].ROOF_AREA.sum() / roofs[suitable_roofs].ROOF_AREA.sum()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.2272121696229953"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Proportional potential of flat roofs\n",
"PVpot[suitable_roofs & (roofs.ROOF_TILT == 0)].pv_potential_kWh_a.sum()/PVpot[suitable_roofs].pv_potential_kWh_a.sum()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Step 3: Change suitability criteria\n",
"Take all roofs with less than 20 degree tilt"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"30.28557657999759"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Suitable potential\n",
"PVpot[(PVpot.available_area >= 8) & \n",
" ((abs(roofs.ROOF_ASPECT) <= 90) | (roofs.ROOF_TILT <= 20) ) ].pv_potential_kWh_a.sum() / 1e9"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Step 4: Simulate change of flat roofs\n",
"Old version: individual south-facing rows at 30° (with mutual shading considered)\n",
"\n",
"New version: adjacent east-west-facing rows at 15° (no mutual shading assumed)\n",
"\n",
"Changes to be made:\n",
"1. Multiply A_PV by a factor of 2\n",
"2. Multiply G_t by a reduction factor accounting for the new orientation and tilt (derived from categories)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"flat_roofs = ((roofs.ROOF_TILT == 0) & (roofs.ROOF_ASPECT == 0))\n",
"PV_pot_flat = PVpot[ flat_roofs ]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load categories and compute reduction factor"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"PV_categories = pd.read_csv( os.path.join(fp, 'files_to_share', 'rooftop_PV_CH_annual_by_category.csv') )"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"PV_categories = PV_categories.set_index(['altitude', 'aspect', 'tilt', 'area']).to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"# remove altitude dimension\n",
"tmp = PV_categories * PV_categories.roof_count\n",
"tmp['roof_count'] = tmp.roof_count / PV_categories.roof_count\n",
"tmp_sum = tmp.sum(dim = 'altitude')"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"# Compute mean without altitude information\n",
"PVcat = tmp_sum / tmp_sum.roof_count\n",
"PVcat['roof_count'] = PVcat.roof_count * tmp_sum.roof_count"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n"
]
}
],
"source": [
"Gt_flat_now = PVcat.sel( aspect = 'flat', tilt = 0 ).Gt_kWh_m2_a\n",
"Gt_flat_EW = PVcat.sel( aspect = ['-90.0', '90.0'], tilt = [10, 20] ).Gt_kWh_m2_a.mean(dim = ['aspect', 'tilt'])"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"reduction_factor_Gt = Gt_flat_EW / Gt_flat_now"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.DataArray 'Gt_kWh_m2_a' (area: 30)>\n",
"array([0.905076, 0.917639, 0.913276, 0.891804, nan, 0.926171, 0.898884,\n",
" 0.882053, 0.924091, 0.89575 , 0.871371, 0.925518, 0.892319, 0.868487,\n",
" 0.928534, 0.894181, nan, 0.927474, 0.901769, nan, 0.925 ,\n",
" 0.894251, nan, 0.9246 , 0.897773, nan, 0.918745, 0.902919,\n",
" nan, nan])\n",
"Coordinates:\n",
" * area (area) object '0.0' '10.0' '100.0' ... '900.0' '9000.0' '> 10000'\n",
" aspect <U4 'flat'\n",
" tilt float64 0.0"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"reduction_factor_Gt"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.9055515578947714"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Gt_perc = float(reduction_factor_Gt.mean())\n",
"Gt_perc"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Deduce impact on PV potential of flat roofs:"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"5.776007584425691"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# PV potential of flat roofs (now)\n",
"PV_pot_flat.pv_potential_kWh_a.sum() / 1e9"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"10.4609453329774"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# PV potential of flat roofs (EW-orientation in adjacent rows)\n",
"PV_pot_flat.pv_potential_kWh_a.sum() / 1e9 * 2 * Gt_perc"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Step 5: Check the available area"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"267.2304897629743"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Total available area\n",
"PVpot.available_area.sum() / 1e6"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"150.67137944007592"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Available and suitable area\n",
"PVpot.available_area[suitable_roofs].sum() / 1e6"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"302.1543281939419"
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Available area with doubling the area for the flat roofs\n",
"PVpot.available_area.sum() / 1e6 + PVpot.available_area[flat_roofs].sum() / 1e6"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Step 6: Check feature available area"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"A_PV_fts = pd.read_csv( os.path.join(fp, 'geographic_potential', 'CH_ROOFS_all_replaced.csv'), \n",
" usecols=['DF_UID', 'panelled_area_ratio_ftr', 'shaded_area_ratio_ftr'] ).set_index('DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"384.89170466306194"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Available area using only the panelled area ratio feature\n",
"avail_area_panelled = roofs.ROOF_AREA * A_PV_fts['panelled_area_ratio_ftr']\n",
"avail_area_panelled.sum() / 1e6"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"372.96480854952625"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Available area using both features\n",
"avail_area_ftrs = roofs.ROOF_AREA * A_PV_fts['panelled_area_ratio_ftr'] * (1-A_PV_fts['shaded_area_ratio_ftr'])\n",
"avail_area_ftrs.sum() / 1e6"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"417.47998171262435"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Available area with features only and flat roofs\n",
"avail_area_ftrs.sum() / 1e6 + avail_area_ftrs[flat_roofs].sum() / 1e6"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Step 7: Check ratio of roofs with zero CPV"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.2177247334356859"
]
},
"execution_count": 89,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Percentage of roofs that do not fit any PV panel\n",
"len(A_PV_fts[A_PV_fts.panelled_area_ratio_ftr == 0]) / len(roofs)"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"12.382768762842131"
]
},
"execution_count": 90,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(roofs.ROOF_AREA[A_PV_fts.panelled_area_ratio_ftr == 0]).sum()/1e6"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Step 8: Check roof size leading to 30% loss"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [],
"source": [
"roof_area_sorted = roofs.ROOF_AREA.sort_values()"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {},
"outputs": [],
"source": [
"# Compute the cumulative area\n",
"roof_area_sorted_cum = roof_area_sorted.cumsum()\n",
"roof_area_sorted_cum_perc = roof_area_sorted_cum / roof_area_sorted_cum.iloc[-1]"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DF_UID\n",
"213034 73.021154\n",
"Name: ROOF_AREA, dtype: float64"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Conclusion: 30% of the roof area would mean a roof area of 73m2! \n",
"# --> criterion mentioned in SON compare table not really feasible\n",
"roofs.ROOF_AREA[roof_area_sorted_cum_perc.round(7) == 0.3 ]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Visualization\n",
"### Plot reduction factor"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"Gt_flat_EW_plot = Gt_flat_EW.sel(area=Gt_flat_EW.area[:-1])\n",
"Gt_flat_EW_plot['area'] = Gt_flat_EW_plot.area.astype(float)\n",
"Gt_flat_EW_plot = Gt_flat_EW_plot.sortby ('area')"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.DataArray 'Gt_kWh_m2_a' (area: 29)>\n",
"array([1000.689625, 993.836535, 993.775588, 1001.776907, 1011.988492,\n",
" 1018.837865, 1020.365675, 1025.00449 , 1031.418766, 1030.658069,\n",
" 1036.127792, 1041.530386, 1053.285374, 1056.790321, 1067.392455,\n",
" 1082.677112, 1069.78794 , 1080.670604, 1083.675838, 1081.094059,\n",
" 1080.185821, 1085.41726 , 1088.359879, nan, nan,\n",
" nan, nan, nan, nan])\n",
"Coordinates:\n",
" * area (area) float64 0.0 10.0 20.0 30.0 40.0 ... 7e+03 8e+03 9e+03 1e+04"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Gt_flat_EW_plot"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
"Gt_flat_now_plot = Gt_flat_now.sel(area=Gt_flat_now.area[:-1])\n",
"Gt_flat_now_plot['area'] = Gt_flat_now_plot.area.astype(float)\n",
"Gt_flat_now_plot = Gt_flat_now_plot.sortby ('area')"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [],
"source": [
"reduction_factor_Gt_plot = reduction_factor_Gt.sel(area=reduction_factor_Gt.area[:-1])\n",
"reduction_factor_Gt_plot['area'] = reduction_factor_Gt_plot.area.astype(float)\n",
"reduction_factor_Gt_plot = reduction_factor_Gt_plot.sortby ('area')"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"Text(0,0.5,'Reduction factor')"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plt.figure()\n",
"Gt_flat_EW_plot.plot(label = 'EW - 15 deg')\n",
"Gt_flat_now_plot.plot(label = 'S - 30 deg')\n",
"\n",
"plt.legend()\n",
"\n",
"plt.gca().twinx()\n",
"reduction_factor_Gt_plot.plot(c = 'C2')\n",
"plt.ylabel('Reduction factor')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plot tilt vs area plot for CPV for features"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [],
"source": [
"colorsRGB = [(47,111,191),\n",
" (51,148,190),\n",
" (65,195,153),\n",
" (105,219,77),\n",
" (183,233,81),\n",
" (249,239,88),\n",
" (250,201,53),\n",
" (246,135,26),\n",
" (220,82,7),\n",
" (193,31,4)]\n",
"colors = []\n",
"for row in colorsRGB:\n",
" colors.append(tuple([i/255.0 for i in row]))\n",
" \n",
"cm_PV = LinearSegmentedColormap.from_list('radiation', colors, N=500)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [],
"source": [
"roofs['area_log'] = np.log10(roofs.ROOF_AREA)\n",
"roofs['area_log_round'] = util.round_to_interval(roofs.area_log, 0.2)\n",
"roofs['area_log_round'] = np.minimum(np.maximum(roofs.area_log_round, 0.7), 3.2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"CPV_viz = roofs.copy()\n",
"CPV_viz.loc[flat_roofs, 'ROOF_AREA'] = CPV_viz[flat_roofs].ROOF_AREA / np.cos(np.deg2rad(30))"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [],
"source": [
"roofs['tilt_round'] = util.round_to_interval(roofs.ROOF_TILT, 5)"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
"roofs['Cpv_ftrs'] = A_PV_fts['panelled_area_ratio_ftr']"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
"roofs_grouped = roofs.groupby(['area_log_round', 'tilt_round']).mean()"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [],
"source": [
"PV_array = roofs_grouped['Cpv_ftrs'].to_xarray()\n",
"PV_array.coords['area_log_round'] = 10**(PV_array.area_log_round)"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"data": {
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"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"PV_array.attrs['long_name'] = 'Average $Cpv$ (features)'\n",
"\n",
"plt.figure()\n",
"ax = plt.subplot()\n",
"\n",
"PV_array.plot(cmap = cm_PV)\n",
"ax.set_yscale('log')\n",
"plt.xlabel('Roof tilt (in degree)')\n",
"plt.ylabel('Roof area (in $m^2$)')\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig('panelled_area_ftrs.png', dpi = 300)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.1"
+ "version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
diff --git a/PV_comparison/compare_PV_SITG.ipynb b/PV_comparison/compare_PV_SITG.ipynb
new file mode 100644
index 0000000..b3bff11
--- /dev/null
+++ b/PV_comparison/compare_PV_SITG.ipynb
@@ -0,0 +1,3081 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/walch/.local/lib/python3.6/site-packages/dask/config.py:129: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
+ " data = yaml.load(f.read()) or {}\n",
+ "/home/walch/.local/lib/python3.6/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.\n",
+ " defaults = yaml.load(f)\n"
+ ]
+ }
+ ],
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import xarray as xr\n",
+ "import geopandas as gpd\n",
+ "\n",
+ "import os\n",
+ "import time\n",
+ "\n",
+ "%matplotlib notebook\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Shapefiles Geneva (Sonnendach)\n",
+ "FP_GE = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/panel_fitting/SOLKAT_DACH_GVA'\n",
+ "COLS = ['geometry', 'DF_UID', 'SB_UUID', 'GWR_EGID', 'FLAECHE', 'AUSRICHTUN', 'NEIGUNG']\n",
+ "\n",
+ "SOLKAT_GE = gpd.read_file( FP_GE )[ COLS ]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>geometry</th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>SB_UUID</th>\n",
+ " <th>GWR_EGID</th>\n",
+ " <th>FLAECHE</th>\n",
+ " <th>AUSRICHTUN</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>POLYGON ((2503496.511 1134199.854, 2503490.657...</td>\n",
+ " <td>4817410</td>\n",
+ " <td>{C0837EBA-3FE8-4166-99E4-A009D794F3F7}</td>\n",
+ " <td>295070969</td>\n",
+ " <td>71.487047</td>\n",
+ " <td>127</td>\n",
+ " <td>10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>POLYGON ((2503505.922 1134132.448, 2503507.485...</td>\n",
+ " <td>4817425</td>\n",
+ " <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
+ " <td>1004090</td>\n",
+ " <td>36.859836</td>\n",
+ " <td>33</td>\n",
+ " <td>37</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>POLYGON ((2503514.369 1134138.302, 2503508.189...</td>\n",
+ " <td>4817426</td>\n",
+ " <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
+ " <td>1004090</td>\n",
+ " <td>51.333864</td>\n",
+ " <td>-57</td>\n",
+ " <td>31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>POLYGON ((2503511.256 1134140.342, 2503508.446...</td>\n",
+ " <td>4817427</td>\n",
+ " <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
+ " <td>1004090</td>\n",
+ " <td>36.861447</td>\n",
+ " <td>-147</td>\n",
+ " <td>37</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>POLYGON ((2503508.446 1134140.096, 2503506.799...</td>\n",
+ " <td>4817428</td>\n",
+ " <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
+ " <td>1004090</td>\n",
+ " <td>81.256555</td>\n",
+ " <td>123</td>\n",
+ " <td>28</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " geometry DF_UID \\\n",
+ "0 POLYGON ((2503496.511 1134199.854, 2503490.657... 4817410 \n",
+ "1 POLYGON ((2503505.922 1134132.448, 2503507.485... 4817425 \n",
+ "2 POLYGON ((2503514.369 1134138.302, 2503508.189... 4817426 \n",
+ "3 POLYGON ((2503511.256 1134140.342, 2503508.446... 4817427 \n",
+ "4 POLYGON ((2503508.446 1134140.096, 2503506.799... 4817428 \n",
+ "\n",
+ " SB_UUID GWR_EGID FLAECHE AUSRICHTUN \\\n",
+ "0 {C0837EBA-3FE8-4166-99E4-A009D794F3F7} 295070969 71.487047 127 \n",
+ "1 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090 36.859836 33 \n",
+ "2 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090 51.333864 -57 \n",
+ "3 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090 36.861447 -147 \n",
+ "4 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090 81.256555 123 \n",
+ "\n",
+ " NEIGUNG \n",
+ "0 10 \n",
+ "1 37 \n",
+ "2 31 \n",
+ "3 37 \n",
+ "4 28 "
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "SOLKAT_GE.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Shapefiles useful surface (SITG)\n",
+ "FP_SURF_GE = '/work/hyenergy/raw/Building_data/SITG/OCEN_SOLAIRE_PV/OCEN_SOLAIRE_PV_SURFACE_UTILE.shp'\n",
+ "COLS = ['geometry', 'TYPE_SURF', 'EGID', 'PENTE_MOY', 'ORIENT_MOY', 'REAL_AREA', 'AREA_PV', \n",
+ " 'IRR_MOY', 'IRR_AN_TOT', 'IRRAN_CAPT', 'P_MONO', 'E_MO_AN']\n",
+ "\n",
+ "PV_POT_SITG = gpd.read_file( FP_SURF_GE )[ COLS ].reset_index().rename({'index' : 'ID'}, axis = 1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>ID</th>\n",
+ " <th>geometry</th>\n",
+ " <th>TYPE_SURF</th>\n",
+ " <th>EGID</th>\n",
+ " <th>PENTE_MOY</th>\n",
+ " <th>ORIENT_MOY</th>\n",
+ " <th>REAL_AREA</th>\n",
+ " <th>AREA_PV</th>\n",
+ " <th>IRR_MOY</th>\n",
+ " <th>IRR_AN_TOT</th>\n",
+ " <th>IRRAN_CAPT</th>\n",
+ " <th>P_MONO</th>\n",
+ " <th>E_MO_AN</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>0</td>\n",
+ " <td>POLYGON ((2492387.921 1116150.570, 2492387.915...</td>\n",
+ " <td>toiture</td>\n",
+ " <td>1631561.0</td>\n",
+ " <td>30.186501</td>\n",
+ " <td>133</td>\n",
+ " <td>12.7708</td>\n",
+ " <td>12.7708</td>\n",
+ " <td>1313</td>\n",
+ " <td>16.768101</td>\n",
+ " <td>1313</td>\n",
+ " <td>2.55416</td>\n",
+ " <td>2.66645</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>1</td>\n",
+ " <td>POLYGON ((2492383.273 1116147.648, 2492383.267...</td>\n",
+ " <td>toiture</td>\n",
+ " <td>1631562.0</td>\n",
+ " <td>29.716200</td>\n",
+ " <td>135</td>\n",
+ " <td>12.6419</td>\n",
+ " <td>12.6419</td>\n",
+ " <td>1299</td>\n",
+ " <td>16.421801</td>\n",
+ " <td>1299</td>\n",
+ " <td>2.52838</td>\n",
+ " <td>2.59513</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " ID geometry TYPE_SURF EGID \\\n",
+ "0 0 POLYGON ((2492387.921 1116150.570, 2492387.915... toiture 1631561.0 \n",
+ "1 1 POLYGON ((2492383.273 1116147.648, 2492383.267... toiture 1631562.0 \n",
+ "\n",
+ " PENTE_MOY ORIENT_MOY REAL_AREA AREA_PV IRR_MOY IRR_AN_TOT IRRAN_CAPT \\\n",
+ "0 30.186501 133 12.7708 12.7708 1313 16.768101 1313 \n",
+ "1 29.716200 135 12.6419 12.6419 1299 16.421801 1299 \n",
+ "\n",
+ " P_MONO E_MO_AN \n",
+ "0 2.55416 2.66645 \n",
+ "1 2.52838 2.59513 "
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "PV_POT_SITG.head(2)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# PV potential Geneva\n",
+ "FP_PV_GE = '/work/hyenergy/output/solar_potential/files_to_share/files_GE/rooftop_PV_GE_annual_by_roof.csv'\n",
+ "PV_ROOF_GE = pd.read_csv( FP_PV_GE )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>pv_potential_kWh_a</th>\n",
+ " <th>pv_potential_kWh_a_std</th>\n",
+ " <th>radiation_kWh_m2_a</th>\n",
+ " <th>radiation_kWh_m2_a_std</th>\n",
+ " <th>available_area</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>4817410</td>\n",
+ " <td>4655.67240</td>\n",
+ " <td>1927.682388</td>\n",
+ " <td>915.779135</td>\n",
+ " <td>217.176670</td>\n",
+ " <td>37.002663</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>4817425</td>\n",
+ " <td>1125.26500</td>\n",
+ " <td>576.977069</td>\n",
+ " <td>1297.643387</td>\n",
+ " <td>315.597151</td>\n",
+ " <td>6.344036</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>4817426</td>\n",
+ " <td>1139.46020</td>\n",
+ " <td>672.605898</td>\n",
+ " <td>1361.228740</td>\n",
+ " <td>333.006956</td>\n",
+ " <td>6.140266</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4817427</td>\n",
+ " <td>472.01505</td>\n",
+ " <td>292.359850</td>\n",
+ " <td>704.052711</td>\n",
+ " <td>150.158188</td>\n",
+ " <td>4.841171</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>4817428</td>\n",
+ " <td>4063.05980</td>\n",
+ " <td>1711.567742</td>\n",
+ " <td>810.469179</td>\n",
+ " <td>186.409277</td>\n",
+ " <td>36.256156</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID pv_potential_kWh_a pv_potential_kWh_a_std radiation_kWh_m2_a \\\n",
+ "0 4817410 4655.67240 1927.682388 915.779135 \n",
+ "1 4817425 1125.26500 576.977069 1297.643387 \n",
+ "2 4817426 1139.46020 672.605898 1361.228740 \n",
+ "3 4817427 472.01505 292.359850 704.052711 \n",
+ "4 4817428 4063.05980 1711.567742 810.469179 \n",
+ "\n",
+ " radiation_kWh_m2_a_std available_area \n",
+ "0 217.176670 37.002663 \n",
+ "1 315.597151 6.344036 \n",
+ "2 333.006956 6.140266 \n",
+ "3 150.158188 4.841171 \n",
+ "4 186.409277 36.256156 "
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "PV_ROOF_GE.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Labels for panel fitting in Geneva\n",
+ "FP_CPV_GE = '/work/hyenergy/output/solar_potential/geographic_potential/available_area'\n",
+ "CPV_LBL_GE = pd.read_csv( os.path.join( FP_CPV_GE, 'TRN_panelled_area.csv' ), \n",
+ " usecols = ['DF_UID', 'panelled_area_ratio_ftr', 'panelled_area_ratio_tgt', 'panel_tilt'] )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>panel_tilt</th>\n",
+ " <th>panelled_area_ratio_ftr</th>\n",
+ " <th>panelled_area_ratio_tgt</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>4817425.0</td>\n",
+ " <td>37</td>\n",
+ " <td>0.390669</td>\n",
+ " <td>0.173631</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>4817427.0</td>\n",
+ " <td>37</td>\n",
+ " <td>0.390652</td>\n",
+ " <td>0.217029</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>4817433.0</td>\n",
+ " <td>26</td>\n",
+ " <td>0.508551</td>\n",
+ " <td>0.277391</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4817445.0</td>\n",
+ " <td>29</td>\n",
+ " <td>0.160423</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>4817452.0</td>\n",
+ " <td>35</td>\n",
+ " <td>0.697125</td>\n",
+ " <td>0.697125</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID panel_tilt panelled_area_ratio_ftr panelled_area_ratio_tgt\n",
+ "0 4817425.0 37 0.390669 0.173631\n",
+ "1 4817427.0 37 0.390652 0.217029\n",
+ "2 4817433.0 26 0.508551 0.277391\n",
+ "3 4817445.0 29 0.160423 0.000000\n",
+ "4 4817452.0 35 0.697125 0.697125"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "CPV_LBL_GE.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Prediction for panel fitting - extract for Geneva\n",
+ "CPV_PRED_GE = pd.read_csv( os.path.join( FP_CPV_GE, 'PRED_available_area_unc_filled.csv' ), \n",
+ " usecols = ['DF_UID', 'prediction_panels', 'total_std_panels'] )\n",
+ "CPV_PRED_GE = CPV_PRED_GE[CPV_PRED_GE.DF_UID.isin(SOLKAT_GE.DF_UID)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>prediction_panels</th>\n",
+ " <th>total_std_panels</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>4646651</th>\n",
+ " <td>4817410</td>\n",
+ " <td>0.674559</td>\n",
+ " <td>0.135870</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4646666</th>\n",
+ " <td>4817425</td>\n",
+ " <td>0.183354</td>\n",
+ " <td>0.076245</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4646667</th>\n",
+ " <td>4817426</td>\n",
+ " <td>0.131094</td>\n",
+ " <td>0.066197</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4646668</th>\n",
+ " <td>4817427</td>\n",
+ " <td>0.204826</td>\n",
+ " <td>0.077877</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4646669</th>\n",
+ " <td>4817428</td>\n",
+ " <td>0.533184</td>\n",
+ " <td>0.136242</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID prediction_panels total_std_panels\n",
+ "4646651 4817410 0.674559 0.135870\n",
+ "4646666 4817425 0.183354 0.076245\n",
+ "4646667 4817426 0.131094 0.066197\n",
+ "4646668 4817427 0.204826 0.077877\n",
+ "4646669 4817428 0.533184 0.136242"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "CPV_PRED_GE.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "37729"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(CPV_LBL_GE)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "area_target_Cpv = ( PV_ROOF_GE .set_index('DF_UID').available_area \n",
+ " / CPV_PRED_GE.set_index('DF_UID').prediction_panels\n",
+ " * CPV_LBL_GE .set_index('DF_UID').panelled_area_ratio_tgt ).dropna()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "area_ftrs_Cpv = ( PV_ROOF_GE .set_index('DF_UID').available_area \n",
+ " / CPV_PRED_GE.set_index('DF_UID').prediction_panels\n",
+ " * CPV_LBL_GE .set_index('DF_UID').panelled_area_ratio_ftr )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Compare total potentials"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "DF_UID 1.101241e+06\n",
+ "pv_potential_kWh_a 1.031603e+03\n",
+ "pv_potential_kWh_a_std 3.681462e+02\n",
+ "radiation_kWh_m2_a 2.253998e+02\n",
+ "radiation_kWh_m2_a_std 5.354267e+01\n",
+ "available_area 6.704317e+00\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "PV_ROOF_GE.sum() / 1e6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "ID 4.363041e+06\n",
+ "EGID 7.976783e+09\n",
+ "PENTE_MOY 1.748707e+03\n",
+ "ORIENT_MOY 1.665087e+04\n",
+ "REAL_AREA 6.429520e+03\n",
+ "AREA_PV 5.280022e+03\n",
+ "IRR_MOY 1.101622e+05\n",
+ "IRR_AN_TOT 7.669865e+03\n",
+ "IRRAN_CAPT 1.118724e+05\n",
+ "P_MONO 1.056004e+03\n",
+ "E_MO_AN 1.022054e+03\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "PV_POT_SITG.drop(columns = ['TYPE_SURF']).sum() / 1e3"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Clip SITG surfaces on SOLKAT_GE and spatial join"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "93414"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(PV_POT_SITG)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "93414"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(PV_POT_SITG.ID.unique())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "PV_POT_SITG['PLY_AREA'] = PV_POT_SITG.geometry.area"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Clipped in 173.99s\n"
+ ]
+ }
+ ],
+ "source": [
+ "tt = time.time()\n",
+ "PV_SITG_clipped = gpd.overlay(PV_POT_SITG, SOLKAT_GE, how='intersection')\n",
+ "print('Clipped in %.2fs' %(time.time()-tt))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "PV_SITG_clipped['WEIGHT'] = PV_SITG_clipped.geometry.area / PV_SITG_clipped.PLY_AREA"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Only keep those pieces with more than 1m2 on one SON roof (discard v. small leftovers)\n",
+ "PV_SITG_process = PV_SITG_clipped[PV_SITG_clipped.geometry.area >= 1]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Group by DF_UID and aggregate appropriately"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "first_fields = ['SB_UUID', 'GWR_EGID', 'EGID']\n",
+ "mean_fields = ['FLAECHE', 'NEIGUNG', 'AUSRICHTUN', 'PENTE_MOY', 'ORIENT_MOY', 'IRR_MOY', 'IRRAN_CAPT']\n",
+ "sum_fields = ['REAL_AREA', 'AREA_PV', 'IRR_AN_TOT', 'P_MONO', 'E_MO_AN']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/walch/miniconda3/envs/py3_geo/lib/python3.6/site-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
+ "\n",
+ "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+ " This is separate from the ipykernel package so we can avoid doing imports until\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Multiply sum fields with their weight\n",
+ "for field in sum_fields:\n",
+ " PV_SITG_process[field] = PV_SITG_process[field] * PV_SITG_process.WEIGHT"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "DF_UID_groups = PV_SITG_process.groupby('DF_UID')\n",
+ "DF_UID_first = DF_UID_groups.first()[ first_fields ]\n",
+ "DF_UID_mean = DF_UID_groups.mean() [ mean_fields ]\n",
+ "DF_UID_sum = DF_UID_groups.sum() [ sum_fields ]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "SITG_PV_per_DF_UID = pd.concat([DF_UID_first, DF_UID_mean, DF_UID_sum], axis = 1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " </tr>\n",
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+ " <td>...</td>\n",
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+ " <td>...</td>\n",
+ " </tr>\n",
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+ " <td>{4E787608-88C7-4828-B653-4B0F55FBC824}</td>\n",
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+ " <tr>\n",
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+ " <tr>\n",
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+ " </tr>\n",
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+ " </tr>\n",
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+ " </tr>\n",
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+ " <td>1250.0</td>\n",
+ " <td>17.139500</td>\n",
+ " <td>17.139500</td>\n",
+ " <td>21.424400</td>\n",
+ " <td>3.427900</td>\n",
+ " <td>3.401990</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124506</th>\n",
+ " <td>{816D03F5-8AAC-443B-BF8F-2268DF3E644D}</td>\n",
+ " <td>2040405</td>\n",
+ " <td>295082921.0</td>\n",
+ " <td>57.609988</td>\n",
+ " <td>17.0</td>\n",
+ " <td>-57.0</td>\n",
+ " <td>16.174000</td>\n",
+ " <td>123.0</td>\n",
+ " <td>1125.0</td>\n",
+ " <td>1125.0</td>\n",
+ " <td>13.282800</td>\n",
+ " <td>13.282800</td>\n",
+ " <td>14.943100</td>\n",
+ " <td>2.656560</td>\n",
+ " <td>2.373580</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124507</th>\n",
+ " <td>{816D03F5-8AAC-443B-BF8F-2268DF3E644D}</td>\n",
+ " <td>2040405</td>\n",
+ " <td>295084262.0</td>\n",
+ " <td>57.882063</td>\n",
+ " <td>22.0</td>\n",
+ " <td>122.0</td>\n",
+ " <td>22.812500</td>\n",
+ " <td>300.0</td>\n",
+ " <td>1011.0</td>\n",
+ " <td>1011.0</td>\n",
+ " <td>7.757560</td>\n",
+ " <td>7.757560</td>\n",
+ " <td>7.842890</td>\n",
+ " <td>1.551510</td>\n",
+ " <td>1.239400</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124509</th>\n",
+ " <td>{8B353B0D-435B-4E26-B2F3-6FD879EEF512}</td>\n",
+ " <td>2040405</td>\n",
+ " <td>295084424.0</td>\n",
+ " <td>88.059840</td>\n",
+ " <td>20.0</td>\n",
+ " <td>27.0</td>\n",
+ " <td>20.082350</td>\n",
+ " <td>208.5</td>\n",
+ " <td>1306.0</td>\n",
+ " <td>1306.0</td>\n",
+ " <td>36.398271</td>\n",
+ " <td>36.398271</td>\n",
+ " <td>47.215502</td>\n",
+ " <td>7.279650</td>\n",
+ " <td>7.460670</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124510</th>\n",
+ " <td>{12B77DB2-B379-46BF-85C6-46A7B0337A59}</td>\n",
+ " <td>0</td>\n",
+ " <td>295078443.0</td>\n",
+ " <td>234.137426</td>\n",
+ " <td>15.0</td>\n",
+ " <td>-139.0</td>\n",
+ " <td>15.116600</td>\n",
+ " <td>41.0</td>\n",
+ " <td>1086.0</td>\n",
+ " <td>1086.0</td>\n",
+ " <td>171.300003</td>\n",
+ " <td>171.300003</td>\n",
+ " <td>186.031998</td>\n",
+ " <td>34.259998</td>\n",
+ " <td>29.393801</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124511</th>\n",
+ " <td>{12B77DB2-B379-46BF-85C6-46A7B0337A59}</td>\n",
+ " <td>0</td>\n",
+ " <td>295078443.0</td>\n",
+ " <td>232.447102</td>\n",
+ " <td>16.0</td>\n",
+ " <td>41.0</td>\n",
+ " <td>15.125000</td>\n",
+ " <td>221.0</td>\n",
+ " <td>1305.0</td>\n",
+ " <td>1305.0</td>\n",
+ " <td>170.395996</td>\n",
+ " <td>170.395996</td>\n",
+ " <td>222.367004</td>\n",
+ " <td>34.079201</td>\n",
+ " <td>35.123699</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124513</th>\n",
+ " <td>{0297FE20-84A2-46F9-B4B9-589B704D3D21}</td>\n",
+ " <td>1018654</td>\n",
+ " <td>1018654.0</td>\n",
+ " <td>137.339196</td>\n",
+ " <td>28.0</td>\n",
+ " <td>-59.0</td>\n",
+ " <td>29.802000</td>\n",
+ " <td>121.0</td>\n",
+ " <td>1251.0</td>\n",
+ " <td>1251.0</td>\n",
+ " <td>74.024200</td>\n",
+ " <td>74.024200</td>\n",
+ " <td>92.604301</td>\n",
+ " <td>14.804800</td>\n",
+ " <td>14.715500</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124523</th>\n",
+ " <td>{EFAA7CA2-F4B4-43EA-B61E-F5C641866241}</td>\n",
+ " <td>1018655</td>\n",
+ " <td>1018655.0</td>\n",
+ " <td>202.860586</td>\n",
+ " <td>26.0</td>\n",
+ " <td>-65.0</td>\n",
+ " <td>26.580550</td>\n",
+ " <td>116.0</td>\n",
+ " <td>1207.0</td>\n",
+ " <td>1207.0</td>\n",
+ " <td>100.548702</td>\n",
+ " <td>100.548702</td>\n",
+ " <td>121.505302</td>\n",
+ " <td>20.109700</td>\n",
+ " <td>19.294600</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124524</th>\n",
+ " <td>{EFAA7CA2-F4B4-43EA-B61E-F5C641866241}</td>\n",
+ " <td>1018655</td>\n",
+ " <td>1018655.0</td>\n",
+ " <td>221.668609</td>\n",
+ " <td>25.0</td>\n",
+ " <td>115.0</td>\n",
+ " <td>28.138150</td>\n",
+ " <td>289.5</td>\n",
+ " <td>1035.5</td>\n",
+ " <td>1035.5</td>\n",
+ " <td>107.326288</td>\n",
+ " <td>107.326288</td>\n",
+ " <td>111.146459</td>\n",
+ " <td>21.465197</td>\n",
+ " <td>17.559156</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124525</th>\n",
+ " <td>{8FF1D51B-18E0-4056-9486-BBE78B86E7FC}</td>\n",
+ " <td>1018651</td>\n",
+ " <td>1018651.0</td>\n",
+ " <td>126.405824</td>\n",
+ " <td>22.0</td>\n",
+ " <td>118.0</td>\n",
+ " <td>23.630899</td>\n",
+ " <td>298.0</td>\n",
+ " <td>1054.0</td>\n",
+ " <td>1054.0</td>\n",
+ " <td>85.153198</td>\n",
+ " <td>85.153198</td>\n",
+ " <td>89.751503</td>\n",
+ " <td>17.030600</td>\n",
+ " <td>14.185000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5124526</th>\n",
+ " <td>{8FF1D51B-18E0-4056-9486-BBE78B86E7FC}</td>\n",
+ " <td>1018651</td>\n",
+ " <td>1018651.0</td>\n",
+ " <td>126.408740</td>\n",
+ " <td>22.0</td>\n",
+ " <td>-62.0</td>\n",
+ " <td>24.384199</td>\n",
+ " <td>119.0</td>\n",
+ " <td>1269.0</td>\n",
+ " <td>1269.0</td>\n",
+ " <td>84.616600</td>\n",
+ " <td>84.616600</td>\n",
+ " <td>107.377998</td>\n",
+ " <td>16.923300</td>\n",
+ " <td>17.062700</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>73444 rows × 15 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " SB_UUID GWR_EGID EGID \\\n",
+ "DF_UID \n",
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+ "5124526 {8FF1D51B-18E0-4056-9486-BBE78B86E7FC} 1018651 1018651.0 \n",
+ "\n",
+ " FLAECHE NEIGUNG AUSRICHTUN PENTE_MOY ORIENT_MOY IRR_MOY \\\n",
+ "DF_UID \n",
+ "4817426 51.333864 31.0 -57.0 32.748501 124.0 1198.0 \n",
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+ "4817466 38.086632 20.0 -50.0 23.746000 131.0 1056.0 \n",
+ "4817478 61.792761 28.0 -58.0 30.799601 122.0 1254.0 \n",
+ "4817482 93.297209 30.0 -40.0 28.974199 145.0 1078.0 \n",
+ "4817484 66.750323 21.0 50.0 29.315201 229.0 1171.0 \n",
+ "4817486 142.291752 17.0 130.0 18.350401 310.0 1020.0 \n",
+ "4817487 107.363169 26.0 -50.0 25.199400 130.0 1197.0 \n",
+ "4817489 120.426801 17.0 130.0 16.531401 306.0 1065.0 \n",
+ "4817490 122.359588 20.0 -50.0 21.258900 131.0 1229.0 \n",
+ "4817494 78.069461 28.0 -58.0 30.799601 122.0 1254.0 \n",
+ "4817495 83.797738 27.0 -57.0 30.774700 122.0 1222.0 \n",
+ "4817498 81.617345 29.0 -57.0 31.637300 123.0 1203.0 \n",
+ "4817500 55.579781 30.0 -57.0 31.637300 123.0 1203.0 \n",
+ "4817501 154.688368 31.0 -55.0 29.874500 123.0 1260.0 \n",
+ "4817503 92.913718 27.0 -55.0 29.661699 123.0 1175.0 \n",
+ "4817506 338.194772 32.0 -57.0 31.698250 124.0 1253.5 \n",
+ "4817510 171.837206 32.0 -57.0 33.171902 124.0 1228.0 \n",
+ "4817513 180.037771 33.0 -57.0 31.455099 125.0 1197.0 \n",
+ "4817515 64.999858 33.0 39.0 33.311100 213.0 1196.0 \n",
+ "4817520 52.636827 36.0 35.0 36.705200 215.0 1061.0 \n",
+ "4817530 51.924951 28.0 -67.0 32.280899 115.0 1064.0 \n",
+ "4817531 49.374172 0.0 -180.0 10.054300 184.0 1102.0 \n",
+ "4817535 60.386112 37.0 35.0 35.626301 212.5 1121.0 \n",
+ "4817542 130.300817 30.0 46.0 34.084749 230.5 1178.0 \n",
+ "... ... ... ... ... ... ... \n",
+ "5124458 13.990294 23.0 -43.0 19.675900 151.0 1167.0 \n",
+ "5124459 89.609773 22.0 -55.0 23.325199 127.0 1197.0 \n",
+ "5124474 167.988512 25.0 30.0 25.542601 210.0 1349.0 \n",
+ "5124475 332.473907 12.0 30.0 12.097000 209.0 1287.0 \n",
+ "5124476 170.738210 16.0 -150.0 16.777100 30.0 1034.0 \n",
+ "5124477 79.163402 30.0 -63.0 32.351898 119.0 1243.0 \n",
+ "5124479 201.344527 28.0 -57.0 28.374001 123.0 1252.0 \n",
+ "5124480 222.078136 28.0 123.0 28.126301 300.0 1011.0 \n",
+ "5124484 96.109368 31.0 33.0 30.850700 213.0 1326.0 \n",
+ "5124488 165.220451 20.0 -53.0 21.475901 126.0 1275.0 \n",
+ "5124489 239.812345 22.0 126.0 21.527399 305.0 1032.0 \n",
+ "5124493 76.814349 32.0 -64.0 30.187300 119.0 1261.0 \n",
+ "5124494 63.680411 30.0 116.0 29.676201 295.0 1017.0 \n",
+ "5124497 139.413591 30.0 -60.0 33.135050 126.5 1238.0 \n",
+ "5124499 92.630815 7.0 -150.0 7.657030 26.0 1066.0 \n",
+ "5124500 44.081253 7.0 -148.0 10.449000 35.0 1114.0 \n",
+ "5124501 12.602429 0.0 -180.0 6.304860 44.0 1108.0 \n",
+ "5124502 14.119724 11.0 -147.0 6.304860 44.0 1108.0 \n",
+ "5124503 36.753693 21.0 122.0 20.368799 305.0 1048.0 \n",
+ "5124505 36.179539 19.0 -58.0 19.921900 121.0 1250.0 \n",
+ "5124506 57.609988 17.0 -57.0 16.174000 123.0 1125.0 \n",
+ "5124507 57.882063 22.0 122.0 22.812500 300.0 1011.0 \n",
+ "5124509 88.059840 20.0 27.0 20.082350 208.5 1306.0 \n",
+ "5124510 234.137426 15.0 -139.0 15.116600 41.0 1086.0 \n",
+ "5124511 232.447102 16.0 41.0 15.125000 221.0 1305.0 \n",
+ "5124513 137.339196 28.0 -59.0 29.802000 121.0 1251.0 \n",
+ "5124523 202.860586 26.0 -65.0 26.580550 116.0 1207.0 \n",
+ "5124524 221.668609 25.0 115.0 28.138150 289.5 1035.5 \n",
+ "5124525 126.405824 22.0 118.0 23.630899 298.0 1054.0 \n",
+ "5124526 126.408740 22.0 -62.0 24.384199 119.0 1269.0 \n",
+ "\n",
+ " IRRAN_CAPT REAL_AREA AREA_PV IRR_AN_TOT P_MONO E_MO_AN \n",
+ "DF_UID \n",
+ "4817426 1198.0 6.621460 6.621460 7.932510 1.324290 1.258520 \n",
+ "4817432 1079.0 72.113403 72.113403 77.810402 14.422700 12.288500 \n",
+ "4817433 1194.0 6.339210 6.339210 7.569020 1.267840 1.195460 \n",
+ "4817453 1221.0 22.119301 22.119301 27.007700 4.423860 4.268830 \n",
+ "4817459 1295.0 192.087997 192.087997 248.753998 38.417599 39.576000 \n",
+ "4817461 1252.0 26.421000 26.421000 33.079102 5.284200 5.227890 \n",
+ "4817463 1142.0 43.788502 43.788502 50.006500 8.757700 7.922440 \n",
+ "4817466 1056.0 14.344100 14.344100 15.147400 2.868820 2.400410 \n",
+ "4817478 1254.0 29.442277 29.442277 36.920616 5.888463 5.871237 \n",
+ "4817482 1078.0 13.127800 13.127800 14.151800 2.625560 2.236200 \n",
+ "4817484 1171.0 47.717843 47.717843 55.877564 9.543569 8.891875 \n",
+ "4817486 1020.0 29.676300 29.676300 30.269800 5.935260 4.784740 \n",
+ "4817487 1197.0 77.254799 77.254799 92.473999 15.451000 14.676300 \n",
+ "4817489 1065.0 72.836403 72.836403 77.570801 14.567300 12.252500 \n",
+ "4817490 1229.0 67.007004 67.007004 82.351601 13.401400 13.081800 \n",
+ "4817494 1254.0 44.563621 44.563621 55.882782 8.912736 8.886663 \n",
+ "4817495 1222.0 39.788200 39.788200 48.621201 7.957640 7.736500 \n",
+ "4817498 1203.0 46.888495 46.888495 56.406840 9.377674 8.971988 \n",
+ "4817500 1203.0 30.306208 30.306208 36.458356 6.061226 5.799012 \n",
+ "4817501 1260.0 98.109398 98.109398 123.617996 19.621901 19.653200 \n",
+ "4817503 1175.0 32.861599 32.861599 38.612400 6.572320 6.123570 \n",
+ "4817506 1253.5 172.119797 172.119797 215.848206 34.424000 34.344999 \n",
+ "4817510 1228.0 59.735001 59.735001 73.354599 11.947000 11.656900 \n",
+ "4817513 1197.0 97.022697 97.022697 116.136002 19.404499 18.470699 \n",
+ "4817515 1196.0 27.180599 27.180599 32.507999 5.436120 5.134310 \n",
+ "4817520 1061.0 6.947090 6.947090 7.370860 1.389420 1.164700 \n",
+ "4817530 1064.0 22.209700 22.209700 23.631100 4.441940 3.758310 \n",
+ "4817531 1102.0 6.529800 6.529800 7.195840 1.305960 1.137140 \n",
+ "4817535 1121.0 18.362870 18.362870 20.612710 3.672580 3.256440 \n",
+ "4817542 1178.0 69.604000 69.604000 81.959400 13.920800 13.031300 \n",
+ "... ... ... ... ... ... ... \n",
+ "5124458 1167.0 8.094195 8.094195 9.445929 1.618839 1.492541 \n",
+ "5124459 1197.0 50.056599 50.056599 59.917702 10.011300 9.524710 \n",
+ "5124474 1349.0 96.952301 96.952301 130.789001 19.390499 20.658300 \n",
+ "5124475 1287.0 263.091003 263.091003 338.597992 52.618198 53.505299 \n",
+ "5124476 1034.0 57.858688 57.858688 59.825925 11.571738 9.455657 \n",
+ "5124477 1243.0 43.676201 43.676201 54.289501 8.735240 8.633680 \n",
+ "5124479 1252.0 127.879997 127.879997 160.106003 25.576000 25.445299 \n",
+ "5124480 1011.0 26.293400 26.293400 26.582600 5.258680 4.200130 \n",
+ "5124484 1326.0 48.462299 48.462299 64.261002 9.692460 10.152700 \n",
+ "5124488 1275.0 112.111000 112.111000 142.942001 22.422199 22.722401 \n",
+ "5124489 1032.0 81.323601 81.323601 83.926002 16.264700 13.262100 \n",
+ "5124493 1261.0 40.173500 40.173500 50.658798 8.034700 8.056710 \n",
+ "5124494 1017.0 31.852200 31.852200 32.393700 6.370440 5.118000 \n",
+ "5124497 1238.0 84.619169 84.619169 106.705763 16.923851 16.967204 \n",
+ "5124499 1199.0 28.334999 19.834499 30.205099 3.966900 3.755990 \n",
+ "5124500 1114.0 22.589800 22.589800 25.165001 4.517960 3.975030 \n",
+ "5124501 1217.0 3.005650 2.103956 3.330261 0.420793 0.404442 \n",
+ "5124502 1217.0 5.033031 3.523124 5.576600 0.704627 0.677248 \n",
+ "5124503 1048.0 16.149099 16.149099 16.924299 3.229820 2.672870 \n",
+ "5124505 1250.0 17.139500 17.139500 21.424400 3.427900 3.401990 \n",
+ "5124506 1125.0 13.282800 13.282800 14.943100 2.656560 2.373580 \n",
+ "5124507 1011.0 7.757560 7.757560 7.842890 1.551510 1.239400 \n",
+ "5124509 1306.0 36.398271 36.398271 47.215502 7.279650 7.460670 \n",
+ "5124510 1086.0 171.300003 171.300003 186.031998 34.259998 29.393801 \n",
+ "5124511 1305.0 170.395996 170.395996 222.367004 34.079201 35.123699 \n",
+ "5124513 1251.0 74.024200 74.024200 92.604301 14.804800 14.715500 \n",
+ "5124523 1207.0 100.548702 100.548702 121.505302 20.109700 19.294600 \n",
+ "5124524 1035.5 107.326288 107.326288 111.146459 21.465197 17.559156 \n",
+ "5124525 1054.0 85.153198 85.153198 89.751503 17.030600 14.185000 \n",
+ "5124526 1269.0 84.616600 84.616600 107.377998 16.923300 17.062700 \n",
+ "\n",
+ "[73444 rows x 15 columns]"
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "SITG_PV_per_DF_UID"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Merge with my PV potentials"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "COMPARE = SITG_PV_per_DF_UID.merge( PV_ROOF_GE, left_index = True, right_on = 'DF_UID', how = 'left' )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "COMPARE.to_csv('/work/hyenergy/output/solar_potential/files_to_share/files_GE/compare_with_SITG.csv')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>SB_UUID</th>\n",
+ " <th>GWR_EGID</th>\n",
+ " <th>EGID</th>\n",
+ " <th>FLAECHE</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUN</th>\n",
+ " <th>PENTE_MOY</th>\n",
+ " <th>ORIENT_MOY</th>\n",
+ " <th>IRR_MOY</th>\n",
+ " <th>IRRAN_CAPT</th>\n",
+ " <th>...</th>\n",
+ " <th>AREA_PV</th>\n",
+ " <th>IRR_AN_TOT</th>\n",
+ " <th>P_MONO</th>\n",
+ " <th>E_MO_AN</th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>pv_potential_kWh_a</th>\n",
+ " <th>pv_potential_kWh_a_std</th>\n",
+ " <th>radiation_kWh_m2_a</th>\n",
+ " <th>radiation_kWh_m2_a_std</th>\n",
+ " <th>available_area</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
+ " <td>1004090</td>\n",
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+ " <td>31.0</td>\n",
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+ " <td>124.0</td>\n",
+ " <td>1198.0</td>\n",
+ " <td>1198.0</td>\n",
+ " <td>...</td>\n",
+ " <td>6.621460</td>\n",
+ " <td>7.932510</td>\n",
+ " <td>1.324290</td>\n",
+ " <td>1.25852</td>\n",
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+ " <td>333.006956</td>\n",
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+ " <tr>\n",
+ " <th>8</th>\n",
+ " <td>{887074A0-5045-4EF6-AF19-22CE12C4C12D}</td>\n",
+ " <td>1004088</td>\n",
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+ " <td>31.0</td>\n",
+ " <td>33.0</td>\n",
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+ " <td>214.0</td>\n",
+ " <td>1079.0</td>\n",
+ " <td>1079.0</td>\n",
+ " <td>...</td>\n",
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+ " <td>293.382318</td>\n",
+ " <td>80.778537</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>{5886EFAF-6EE3-49F9-9E6C-A63BA281D920}</td>\n",
+ " <td>295084893</td>\n",
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+ " <td>26.0</td>\n",
+ " <td>33.0</td>\n",
+ " <td>30.996300</td>\n",
+ " <td>216.0</td>\n",
+ " <td>1194.0</td>\n",
+ " <td>1194.0</td>\n",
+ " <td>...</td>\n",
+ " <td>6.339210</td>\n",
+ " <td>7.569020</td>\n",
+ " <td>1.267840</td>\n",
+ " <td>1.19546</td>\n",
+ " <td>4817433</td>\n",
+ " <td>3194.0562</td>\n",
+ " <td>1352.050522</td>\n",
+ " <td>1179.141094</td>\n",
+ " <td>298.931568</td>\n",
+ " <td>19.821283</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>{239D583B-7252-4B54-9F8E-524DD5307EF3}</td>\n",
+ " <td>1004049</td>\n",
+ " <td>1004049.0</td>\n",
+ " <td>52.296595</td>\n",
+ " <td>34.0</td>\n",
+ " <td>40.0</td>\n",
+ " <td>38.170200</td>\n",
+ " <td>221.0</td>\n",
+ " <td>1221.0</td>\n",
+ " <td>1221.0</td>\n",
+ " <td>...</td>\n",
+ " <td>22.119301</td>\n",
+ " <td>27.007700</td>\n",
+ " <td>4.423860</td>\n",
+ " <td>4.26883</td>\n",
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+ " <td>3610.1280</td>\n",
+ " <td>1760.702338</td>\n",
+ " <td>1215.590723</td>\n",
+ " <td>306.980273</td>\n",
+ " <td>21.629460</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>{24D56501-D4D8-4BBE-863D-4FC06B5951CB}</td>\n",
+ " <td>1004035</td>\n",
+ " <td>1004035.0</td>\n",
+ " <td>260.507359</td>\n",
+ " <td>30.0</td>\n",
+ " <td>-49.0</td>\n",
+ " <td>32.012501</td>\n",
+ " <td>132.0</td>\n",
+ " <td>1295.0</td>\n",
+ " <td>1295.0</td>\n",
+ " <td>...</td>\n",
+ " <td>192.087997</td>\n",
+ " <td>248.753998</td>\n",
+ " <td>38.417599</td>\n",
+ " <td>39.57600</td>\n",
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+ " <td>9784.146750</td>\n",
+ " <td>1367.487234</td>\n",
+ " <td>333.694846</td>\n",
+ " <td>146.029425</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5 rows × 21 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " SB_UUID GWR_EGID EGID \\\n",
+ "2 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090 1004090.0 \n",
+ "8 {887074A0-5045-4EF6-AF19-22CE12C4C12D} 1004088 1004088.0 \n",
+ "9 {5886EFAF-6EE3-49F9-9E6C-A63BA281D920} 295084893 295084893.0 \n",
+ "29 {239D583B-7252-4B54-9F8E-524DD5307EF3} 1004049 1004049.0 \n",
+ "35 {24D56501-D4D8-4BBE-863D-4FC06B5951CB} 1004035 1004035.0 \n",
+ "\n",
+ " FLAECHE NEIGUNG AUSRICHTUN PENTE_MOY ORIENT_MOY IRR_MOY \\\n",
+ "2 51.333864 31.0 -57.0 32.748501 124.0 1198.0 \n",
+ "8 174.108293 31.0 33.0 31.537500 214.0 1079.0 \n",
+ "9 69.216255 26.0 33.0 30.996300 216.0 1194.0 \n",
+ "29 52.296595 34.0 40.0 38.170200 221.0 1221.0 \n",
+ "35 260.507359 30.0 -49.0 32.012501 132.0 1295.0 \n",
+ "\n",
+ " IRRAN_CAPT ... AREA_PV IRR_AN_TOT P_MONO E_MO_AN DF_UID \\\n",
+ "2 1198.0 ... 6.621460 7.932510 1.324290 1.25852 4817426 \n",
+ "8 1079.0 ... 72.113403 77.810402 14.422700 12.28850 4817432 \n",
+ "9 1194.0 ... 6.339210 7.569020 1.267840 1.19546 4817433 \n",
+ "29 1221.0 ... 22.119301 27.007700 4.423860 4.26883 4817453 \n",
+ "35 1295.0 ... 192.087997 248.753998 38.417599 39.57600 4817459 \n",
+ "\n",
+ " pv_potential_kWh_a pv_potential_kWh_a_std radiation_kWh_m2_a \\\n",
+ "2 1139.4602 672.605898 1361.228740 \n",
+ "8 12450.4000 5340.120278 1129.340875 \n",
+ "9 3194.0562 1352.050522 1179.141094 \n",
+ "29 3610.1280 1760.702338 1215.590723 \n",
+ "35 27222.3730 9784.146750 1367.487234 \n",
+ "\n",
+ " radiation_kWh_m2_a_std available_area \n",
+ "2 333.006956 6.140266 \n",
+ "8 293.382318 80.778537 \n",
+ "9 298.931568 19.821283 \n",
+ "29 306.980273 21.629460 \n",
+ "35 333.694846 146.029425 \n",
+ "\n",
+ "[5 rows x 21 columns]"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "COMPARE.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>GWR_EGID</th>\n",
+ " <th>EGID</th>\n",
+ " <th>FLAECHE</th>\n",
+ " <th>NEIGUNG</th>\n",
+ " <th>AUSRICHTUN</th>\n",
+ " <th>PENTE_MOY</th>\n",
+ " <th>ORIENT_MOY</th>\n",
+ " <th>IRR_MOY</th>\n",
+ " <th>IRRAN_CAPT</th>\n",
+ " <th>REAL_AREA</th>\n",
+ " <th>AREA_PV</th>\n",
+ " <th>IRR_AN_TOT</th>\n",
+ " <th>P_MONO</th>\n",
+ " <th>E_MO_AN</th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>pv_potential_kWh_a</th>\n",
+ " <th>pv_potential_kWh_a_std</th>\n",
+ " <th>radiation_kWh_m2_a</th>\n",
+ " <th>radiation_kWh_m2_a_std</th>\n",
+ " <th>available_area</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>count</th>\n",
+ " <td>7.344400e+04</td>\n",
+ " <td>7.344400e+04</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>73444.000000</td>\n",
+ " <td>7.344400e+04</td>\n",
+ " <td>7.344300e+04</td>\n",
+ " <td>73443.000000</td>\n",
+ " <td>73443.000000</td>\n",
+ " <td>73443.000000</td>\n",
+ " <td>73443.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>mean</th>\n",
+ " <td>4.223006e+07</td>\n",
+ " <td>8.228693e+07</td>\n",
+ " <td>150.230454</td>\n",
+ " <td>19.434944</td>\n",
+ " <td>-32.883694</td>\n",
+ " <td>20.253085</td>\n",
+ " <td>177.880311</td>\n",
+ " <td>1179.439809</td>\n",
+ " <td>1194.272408</td>\n",
+ " <td>77.872119</td>\n",
+ " <td>64.489301</td>\n",
+ " <td>93.034356</td>\n",
+ " <td>12.897860</td>\n",
+ " <td>12.486847</td>\n",
+ " <td>5.009008e+06</td>\n",
+ " <td>1.061747e+04</td>\n",
+ " <td>3507.897834</td>\n",
+ " <td>1184.775733</td>\n",
+ " <td>276.779151</td>\n",
+ " <td>64.854524</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>std</th>\n",
+ " <td>1.018375e+08</td>\n",
+ " <td>1.312311e+08</td>\n",
+ " <td>373.246667</td>\n",
+ " <td>12.630382</td>\n",
+ " <td>97.625887</td>\n",
+ " <td>11.734563</td>\n",
+ " <td>66.139808</td>\n",
+ " <td>91.366452</td>\n",
+ " <td>92.521221</td>\n",
+ " <td>277.797147</td>\n",
+ " <td>200.997359</td>\n",
+ " <td>336.334155</td>\n",
+ " <td>40.199471</td>\n",
+ " <td>39.986776</td>\n",
+ " <td>6.997675e+04</td>\n",
+ " <td>3.035110e+04</td>\n",
+ " <td>8429.202851</td>\n",
+ " <td>155.509222</td>\n",
+ " <td>64.897524</td>\n",
+ " <td>175.896328</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>min</th>\n",
+ " <td>0.000000e+00</td>\n",
+ " <td>0.000000e+00</td>\n",
+ " <td>1.170803</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>-180.000000</td>\n",
+ " <td>0.272880</td>\n",
+ " <td>4.000000</td>\n",
+ " <td>1002.000000</td>\n",
+ " <td>1002.000000</td>\n",
+ " <td>1.004877</td>\n",
+ " <td>0.703414</td>\n",
+ " <td>1.088778</td>\n",
+ " <td>0.140683</td>\n",
+ " <td>0.124414</td>\n",
+ " <td>4.817426e+06</td>\n",
+ " <td>0.000000e+00</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>314.637177</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25%</th>\n",
+ " <td>1.008355e+06</td>\n",
+ " <td>1.012514e+06</td>\n",
+ " <td>44.064529</td>\n",
+ " <td>9.000000</td>\n",
+ " <td>-115.000000</td>\n",
+ " <td>10.781550</td>\n",
+ " <td>133.000000</td>\n",
+ " <td>1104.000000</td>\n",
+ " <td>1120.000000</td>\n",
+ " <td>13.007532</td>\n",
+ " <td>12.151951</td>\n",
+ " <td>15.081900</td>\n",
+ " <td>2.430390</td>\n",
+ " <td>2.254528</td>\n",
+ " <td>4.955911e+06</td>\n",
+ " <td>2.053020e+03</td>\n",
+ " <td>1033.908717</td>\n",
+ " <td>1071.295624</td>\n",
+ " <td>252.410884</td>\n",
+ " <td>13.088616</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50%</th>\n",
+ " <td>1.020806e+06</td>\n",
+ " <td>1.027686e+06</td>\n",
+ " <td>73.102924</td>\n",
+ " <td>21.000000</td>\n",
+ " <td>-38.000000</td>\n",
+ " <td>20.821000</td>\n",
+ " <td>178.500000</td>\n",
+ " <td>1186.000000</td>\n",
+ " <td>1207.000000</td>\n",
+ " <td>28.112249</td>\n",
+ " <td>26.555601</td>\n",
+ " <td>33.143390</td>\n",
+ " <td>5.311120</td>\n",
+ " <td>4.995041</td>\n",
+ " <td>5.013366e+06</td>\n",
+ " <td>4.637139e+03</td>\n",
+ " <td>1906.713281</td>\n",
+ " <td>1212.393374</td>\n",
+ " <td>296.194986</td>\n",
+ " <td>29.299179</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>75%</th>\n",
+ " <td>2.037037e+06</td>\n",
+ " <td>2.950304e+08</td>\n",
+ " <td>131.545292</td>\n",
+ " <td>29.000000</td>\n",
+ " <td>43.000000</td>\n",
+ " <td>28.999549</td>\n",
+ " <td>221.000000</td>\n",
+ " <td>1248.000000</td>\n",
+ " <td>1270.000000</td>\n",
+ " <td>59.457451</td>\n",
+ " <td>55.310756</td>\n",
+ " <td>71.020672</td>\n",
+ " <td>11.062177</td>\n",
+ " <td>10.543212</td>\n",
+ " <td>5.067968e+06</td>\n",
+ " <td>9.606464e+03</td>\n",
+ " <td>3436.826930</td>\n",
+ " <td>1309.831152</td>\n",
+ " <td>318.164315</td>\n",
+ " <td>60.343694</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>max</th>\n",
+ " <td>2.955133e+08</td>\n",
+ " <td>2.955127e+08</td>\n",
+ " <td>23505.309796</td>\n",
+ " <td>69.000000</td>\n",
+ " <td>180.000000</td>\n",
+ " <td>84.972298</td>\n",
+ " <td>359.000000</td>\n",
+ " <td>1394.000000</td>\n",
+ " <td>1394.000000</td>\n",
+ " <td>22394.779414</td>\n",
+ " <td>15988.818232</td>\n",
+ " <td>27505.195424</td>\n",
+ " <td>3197.763776</td>\n",
+ " <td>3241.412584</td>\n",
+ " <td>5.124526e+06</td>\n",
+ " <td>1.941647e+06</td>\n",
+ " <td>531365.439795</td>\n",
+ " <td>1532.450176</td>\n",
+ " <td>370.678948</td>\n",
+ " <td>10258.891790</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " GWR_EGID EGID FLAECHE NEIGUNG AUSRICHTUN \\\n",
+ "count 7.344400e+04 7.344400e+04 73444.000000 73444.000000 73444.000000 \n",
+ "mean 4.223006e+07 8.228693e+07 150.230454 19.434944 -32.883694 \n",
+ "std 1.018375e+08 1.312311e+08 373.246667 12.630382 97.625887 \n",
+ "min 0.000000e+00 0.000000e+00 1.170803 0.000000 -180.000000 \n",
+ "25% 1.008355e+06 1.012514e+06 44.064529 9.000000 -115.000000 \n",
+ "50% 1.020806e+06 1.027686e+06 73.102924 21.000000 -38.000000 \n",
+ "75% 2.037037e+06 2.950304e+08 131.545292 29.000000 43.000000 \n",
+ "max 2.955133e+08 2.955127e+08 23505.309796 69.000000 180.000000 \n",
+ "\n",
+ " PENTE_MOY ORIENT_MOY IRR_MOY IRRAN_CAPT REAL_AREA \\\n",
+ "count 73444.000000 73444.000000 73444.000000 73444.000000 73444.000000 \n",
+ "mean 20.253085 177.880311 1179.439809 1194.272408 77.872119 \n",
+ "std 11.734563 66.139808 91.366452 92.521221 277.797147 \n",
+ "min 0.272880 4.000000 1002.000000 1002.000000 1.004877 \n",
+ "25% 10.781550 133.000000 1104.000000 1120.000000 13.007532 \n",
+ "50% 20.821000 178.500000 1186.000000 1207.000000 28.112249 \n",
+ "75% 28.999549 221.000000 1248.000000 1270.000000 59.457451 \n",
+ "max 84.972298 359.000000 1394.000000 1394.000000 22394.779414 \n",
+ "\n",
+ " AREA_PV IRR_AN_TOT P_MONO E_MO_AN DF_UID \\\n",
+ "count 73444.000000 73444.000000 73444.000000 73444.000000 7.344400e+04 \n",
+ "mean 64.489301 93.034356 12.897860 12.486847 5.009008e+06 \n",
+ "std 200.997359 336.334155 40.199471 39.986776 6.997675e+04 \n",
+ "min 0.703414 1.088778 0.140683 0.124414 4.817426e+06 \n",
+ "25% 12.151951 15.081900 2.430390 2.254528 4.955911e+06 \n",
+ "50% 26.555601 33.143390 5.311120 4.995041 5.013366e+06 \n",
+ "75% 55.310756 71.020672 11.062177 10.543212 5.067968e+06 \n",
+ "max 15988.818232 27505.195424 3197.763776 3241.412584 5.124526e+06 \n",
+ "\n",
+ " pv_potential_kWh_a pv_potential_kWh_a_std radiation_kWh_m2_a \\\n",
+ "count 7.344300e+04 73443.000000 73443.000000 \n",
+ "mean 1.061747e+04 3507.897834 1184.775733 \n",
+ "std 3.035110e+04 8429.202851 155.509222 \n",
+ "min 0.000000e+00 0.000000 314.637177 \n",
+ "25% 2.053020e+03 1033.908717 1071.295624 \n",
+ "50% 4.637139e+03 1906.713281 1212.393374 \n",
+ "75% 9.606464e+03 3436.826930 1309.831152 \n",
+ "max 1.941647e+06 531365.439795 1532.450176 \n",
+ "\n",
+ " radiation_kWh_m2_a_std available_area \n",
+ "count 73443.000000 73443.000000 \n",
+ "mean 276.779151 64.854524 \n",
+ "std 64.897524 175.896328 \n",
+ "min 0.000000 0.000000 \n",
+ "25% 252.410884 13.088616 \n",
+ "50% 296.194986 29.299179 \n",
+ "75% 318.164315 60.343694 \n",
+ "max 370.678948 10258.891790 "
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "COMPARE.describe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "differences = pd.DataFrame( (COMPARE.available_area - COMPARE.AREA_PV).rename('diff_AREA') ) \n",
+ "differences['diff_IRR'] = COMPARE.radiation_kWh_m2_a - COMPARE.IRRAN_CAPT\n",
+ "differences['diff_PV'] = COMPARE.pv_potential_kWh_a - COMPARE.E_MO_AN * 1000"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>diff_AREA</th>\n",
+ " <th>diff_IRR</th>\n",
+ " <th>diff_PV</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>count</th>\n",
+ " <td>73443.000000</td>\n",
+ " <td>73443.000000</td>\n",
+ " <td>7.344300e+04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>mean</th>\n",
+ " <td>0.364420</td>\n",
+ " <td>-9.496447</td>\n",
+ " <td>-1.869535e+03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>std</th>\n",
+ " <td>83.643444</td>\n",
+ " <td>107.459662</td>\n",
+ " <td>1.571775e+04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>min</th>\n",
+ " <td>-5729.926442</td>\n",
+ " <td>-991.342552</td>\n",
+ " <td>-1.299766e+06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25%</th>\n",
+ " <td>-6.819155</td>\n",
+ " <td>-62.043642</td>\n",
+ " <td>-2.201114e+03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50%</th>\n",
+ " <td>-0.897950</td>\n",
+ " <td>7.726204</td>\n",
+ " <td>-7.368644e+02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>75%</th>\n",
+ " <td>7.749273</td>\n",
+ " <td>61.291717</td>\n",
+ " <td>3.523345e+02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>max</th>\n",
+ " <td>6113.374220</td>\n",
+ " <td>377.918437</td>\n",
+ " <td>9.837331e+05</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " diff_AREA diff_IRR diff_PV\n",
+ "count 73443.000000 73443.000000 7.344300e+04\n",
+ "mean 0.364420 -9.496447 -1.869535e+03\n",
+ "std 83.643444 107.459662 1.571775e+04\n",
+ "min -5729.926442 -991.342552 -1.299766e+06\n",
+ "25% -6.819155 -62.043642 -2.201114e+03\n",
+ "50% -0.897950 7.726204 -7.368644e+02\n",
+ "75% 7.749273 61.291717 3.523345e+02\n",
+ "max 6113.374220 377.918437 9.837331e+05"
+ ]
+ },
+ "execution_count": 34,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "differences.describe()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# For areas with superstructure information:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "COMPARE_SP = COMPARE .merge(area_target_Cpv.rename('AREA_TGT').reset_index(), on = 'DF_UID', how = 'left')\n",
+ "COMPARE_SP = COMPARE_SP.merge(area_ftrs_Cpv .rename('AREA_FTR').reset_index(), on = 'DF_UID', how = 'left')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "differences['diff_AREA_TGT'] = COMPARE_SP.AREA_TGT - COMPARE_SP.AREA_PV\n",
+ "differences['diff_AREA_FTR'] = COMPARE_SP.AREA_FTR - COMPARE_SP.AREA_PV"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>diff_AREA</th>\n",
+ " <th>diff_IRR</th>\n",
+ " <th>diff_PV</th>\n",
+ " <th>diff_AREA_TGT</th>\n",
+ " <th>diff_AREA_FTR</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>count</th>\n",
+ " <td>73443.000000</td>\n",
+ " <td>73443.000000</td>\n",
+ " <td>7.344300e+04</td>\n",
+ " <td>6655.000000</td>\n",
+ " <td>6655.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>mean</th>\n",
+ " <td>0.364420</td>\n",
+ " <td>-9.496447</td>\n",
+ " <td>-1.869535e+03</td>\n",
+ " <td>-1.557267</td>\n",
+ " <td>17.144468</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>std</th>\n",
+ " <td>83.643444</td>\n",
+ " <td>107.459662</td>\n",
+ " <td>1.571775e+04</td>\n",
+ " <td>93.330377</td>\n",
+ " <td>91.308108</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>min</th>\n",
+ " <td>-5729.926442</td>\n",
+ " <td>-991.342552</td>\n",
+ " <td>-1.299766e+06</td>\n",
+ " <td>-1873.582572</td>\n",
+ " <td>-1731.617794</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25%</th>\n",
+ " <td>-6.819155</td>\n",
+ " <td>-62.043642</td>\n",
+ " <td>-2.201114e+03</td>\n",
+ " <td>-12.288368</td>\n",
+ " <td>2.085587</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>50%</th>\n",
+ " <td>-0.897950</td>\n",
+ " <td>7.726204</td>\n",
+ " <td>-7.368644e+02</td>\n",
+ " <td>0.854003</td>\n",
+ " <td>12.865545</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>75%</th>\n",
+ " <td>7.749273</td>\n",
+ " <td>61.291717</td>\n",
+ " <td>3.523345e+02</td>\n",
+ " <td>14.018665</td>\n",
+ " <td>30.393032</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>max</th>\n",
+ " <td>6113.374220</td>\n",
+ " <td>377.918437</td>\n",
+ " <td>9.837331e+05</td>\n",
+ " <td>2943.763705</td>\n",
+ " <td>3094.581444</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " diff_AREA diff_IRR diff_PV diff_AREA_TGT diff_AREA_FTR\n",
+ "count 73443.000000 73443.000000 7.344300e+04 6655.000000 6655.000000\n",
+ "mean 0.364420 -9.496447 -1.869535e+03 -1.557267 17.144468\n",
+ "std 83.643444 107.459662 1.571775e+04 93.330377 91.308108\n",
+ "min -5729.926442 -991.342552 -1.299766e+06 -1873.582572 -1731.617794\n",
+ "25% -6.819155 -62.043642 -2.201114e+03 -12.288368 2.085587\n",
+ "50% -0.897950 7.726204 -7.368644e+02 0.854003 12.865545\n",
+ "75% 7.749273 61.291717 3.523345e+02 14.018665 30.393032\n",
+ "max 6113.374220 377.918437 9.837331e+05 2943.763705 3094.581444"
+ ]
+ },
+ "execution_count": 55,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "differences.describe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "differences.describe().to_csv('/work/hyenergy/output/solar_potential/files_to_share/files_GE/compare_with_SITG_summary.csv')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/PV_output/extract_data_VD_GVA.ipynb b/PV_output/extract_data_VD_GVA.ipynb
new file mode 100644
index 0000000..a8858a1
--- /dev/null
+++ b/PV_output/extract_data_VD_GVA.ipynb
@@ -0,0 +1,710 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "\n",
+ "import os\n",
+ "import time"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Load DF_UIDs VD"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "OUTPATH = '/work/hyenergy/output/solar_potential/files_to_share/files_VD'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "FP_VD = '/work/hyenergy/raw/Building_data/VAUD/SOLKAT_DACH_VD.txt'\n",
+ "COLS = ['DF_UID', 'SB_UUID', 'GWR_EGID', 'FLAECHE', 'AUSRICHTUNG', 'NEIGUNG']\n",
+ "DF_UID_VD = pd.read_csv( FP_VD, usecols = COLS )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Extract rooftop data"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Load data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "FP_ROOF = '/work/hyenergy/output/solar_potential/technical_potential/pv_potential_annual_shared_v2.csv'\n",
+ "PV_ROOF = pd.read_csv( FP_ROOF )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Extract data for VD"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>pv_potential_kWh_a</th>\n",
+ " <th>pv_potential_kWh_a_std</th>\n",
+ " <th>radiation_kWh_m2_a</th>\n",
+ " <th>radiation_kWh_m2_a_std</th>\n",
+ " <th>available_area</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>239.8001</td>\n",
+ " <td>324.268393</td>\n",
+ " <td>1210.184846</td>\n",
+ " <td>309.039122</td>\n",
+ " <td>1.437423</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>0.0000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>474.558362</td>\n",
+ " <td>85.539804</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>3891.6055</td>\n",
+ " <td>2071.079104</td>\n",
+ " <td>951.934814</td>\n",
+ " <td>239.814424</td>\n",
+ " <td>29.414390</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2022.1940</td>\n",
+ " <td>1044.604313</td>\n",
+ " <td>1029.797436</td>\n",
+ " <td>259.121816</td>\n",
+ " <td>14.224941</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>1030.4568</td>\n",
+ " <td>702.281552</td>\n",
+ " <td>711.799309</td>\n",
+ " <td>188.438262</td>\n",
+ " <td>10.472945</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID pv_potential_kWh_a pv_potential_kWh_a_std radiation_kWh_m2_a \\\n",
+ "0 1 239.8001 324.268393 1210.184846 \n",
+ "1 2 0.0000 0.000000 474.558362 \n",
+ "2 3 3891.6055 2071.079104 951.934814 \n",
+ "3 4 2022.1940 1044.604313 1029.797436 \n",
+ "4 5 1030.4568 702.281552 711.799309 \n",
+ "\n",
+ " radiation_kWh_m2_a_std available_area \n",
+ "0 309.039122 1.437423 \n",
+ "1 85.539804 0.000000 \n",
+ "2 239.814424 29.414390 \n",
+ "3 259.121816 14.224941 \n",
+ "4 188.438262 10.472945 "
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "PV_ROOF.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "PV_ROOF_VD = PV_ROOF[PV_ROOF.DF_UID.isin(DF_UID_VD.DF_UID)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "756573"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(PV_ROOF_VD)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "756573"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(DF_UID_VD)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "PV_ROOF_VD.to_csv( os.path.join( OUTPATH, 'rooftop_PV_VD_annual_by_roof.csv' ), index = False )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Extract building data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "SB_UUIDs = DF_UID_VD.SB_UUID.unique()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "rooftop_PV_CH_EPV_W_std_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_VD/rooftop_PV_CH_EPV_W_std_by_building_VD.csv\n",
+ "rooftop_PV_CH_Gt_W_m2_std_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_VD/rooftop_PV_CH_Gt_W_m2_std_by_building_VD.csv\n",
+ "rooftop_PV_CH_Gt_W_m2_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_VD/rooftop_PV_CH_Gt_W_m2_by_building_VD.csv\n",
+ "rooftop_PV_CH_annual_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_VD/rooftop_PV_CH_annual_by_building_VD.csv\n",
+ "rooftop_PV_CH_EPV_W_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_VD/rooftop_PV_CH_EPV_W_by_building_VD.csv\n"
+ ]
+ }
+ ],
+ "source": [
+ "FP_BUILD = '/work/hyenergy/output/solar_potential/files_to_share'\n",
+ "\n",
+ "PV_BUILD = {}\n",
+ "for filename in os.listdir(FP_BUILD):\n",
+ " if 'by_building' not in filename: continue\n",
+ " print(filename)\n",
+ " \n",
+ " data = pd.read_csv( os.path.join(FP_BUILD, filename) )\n",
+ " data_VD = data[data.SB_UUID.isin( SB_UUIDs )]\n",
+ " \n",
+ " savefile = os.path.join( OUTPATH, os.path.splitext( filename )[0] + '_VD.csv' )\n",
+ " data_VD.to_csv( savefile, index = False )\n",
+ " \n",
+ " print('Saved %s' %savefile)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "282850"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(SB_UUIDs)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "177007"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(data_VD)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Same thing for GVA"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "OUTPATH = '/work/hyenergy/output/solar_potential/files_to_share/files_GE'"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Load DF_UIDs GE"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "FP_GE = '/work/hyenergy/raw/Building_data/SITG/SOLKAT_DACH_GVA.txt'\n",
+ "COLS = ['DF_UID', 'SB_UUID', 'GWR_EGID']\n",
+ "DF_UID_GE = pd.read_csv( FP_GE, usecols = COLS )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Extract rooftop data"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Load data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "FP_ROOF = '/work/hyenergy/output/solar_potential/technical_potential/pv_potential_annual_shared_v2.csv'\n",
+ "PV_ROOF = pd.read_csv( FP_ROOF )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Extract data for VD"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>DF_UID</th>\n",
+ " <th>pv_potential_kWh_a</th>\n",
+ " <th>pv_potential_kWh_a_std</th>\n",
+ " <th>radiation_kWh_m2_a</th>\n",
+ " <th>radiation_kWh_m2_a_std</th>\n",
+ " <th>available_area</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>1</td>\n",
+ " <td>239.8001</td>\n",
+ " <td>324.268393</td>\n",
+ " <td>1210.184846</td>\n",
+ " <td>309.039122</td>\n",
+ " <td>1.437423</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>2</td>\n",
+ " <td>0.0000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>474.558362</td>\n",
+ " <td>85.539804</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3</td>\n",
+ " <td>3891.6055</td>\n",
+ " <td>2071.079104</td>\n",
+ " <td>951.934814</td>\n",
+ " <td>239.814424</td>\n",
+ " <td>29.414390</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>4</td>\n",
+ " <td>2022.1940</td>\n",
+ " <td>1044.604313</td>\n",
+ " <td>1029.797436</td>\n",
+ " <td>259.121816</td>\n",
+ " <td>14.224941</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>5</td>\n",
+ " <td>1030.4568</td>\n",
+ " <td>702.281552</td>\n",
+ " <td>711.799309</td>\n",
+ " <td>188.438262</td>\n",
+ " <td>10.472945</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " DF_UID pv_potential_kWh_a pv_potential_kWh_a_std radiation_kWh_m2_a \\\n",
+ "0 1 239.8001 324.268393 1210.184846 \n",
+ "1 2 0.0000 0.000000 474.558362 \n",
+ "2 3 3891.6055 2071.079104 951.934814 \n",
+ "3 4 2022.1940 1044.604313 1029.797436 \n",
+ "4 5 1030.4568 702.281552 711.799309 \n",
+ "\n",
+ " radiation_kWh_m2_a_std available_area \n",
+ "0 309.039122 1.437423 \n",
+ "1 85.539804 0.000000 \n",
+ "2 239.814424 29.414390 \n",
+ "3 259.121816 14.224941 \n",
+ "4 188.438262 10.472945 "
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "PV_ROOF.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "PV_ROOF_GE = PV_ROOF[PV_ROOF.DF_UID.isin(DF_UID_GE.DF_UID)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "219870"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(PV_ROOF_GE)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "219870"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(DF_UID_GE)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "PV_ROOF_GE.to_csv( os.path.join( OUTPATH, 'rooftop_PV_GE_annual_by_roof.csv' ), index = False )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Extract building data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "SB_UUIDs = DF_UID_GE.SB_UUID.unique()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "rooftop_PV_CH_EPV_W_std_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_GE/rooftop_PV_GE_EPV_W_std_by_building.csv\n",
+ "rooftop_PV_CH_Gt_W_m2_std_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_GE/rooftop_PV_GE_Gt_W_m2_std_by_building.csv\n",
+ "rooftop_PV_CH_Gt_W_m2_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_GE/rooftop_PV_GE_Gt_W_m2_by_building.csv\n",
+ "rooftop_PV_CH_annual_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_GE/rooftop_PV_GE_annual_by_building.csv\n",
+ "rooftop_PV_CH_EPV_W_by_building.csv\n",
+ "Saved /work/hyenergy/output/solar_potential/files_to_share/files_GE/rooftop_PV_GE_EPV_W_by_building.csv\n"
+ ]
+ }
+ ],
+ "source": [
+ "FP_BUILD = '/work/hyenergy/output/solar_potential/files_to_share'\n",
+ "\n",
+ "PV_BUILD = {}\n",
+ "for filename in os.listdir(FP_BUILD):\n",
+ " if 'by_building' not in filename: continue\n",
+ " print(filename)\n",
+ " \n",
+ " data = pd.read_csv( os.path.join(FP_BUILD, filename) )\n",
+ " data_VD = data[data.SB_UUID.isin( SB_UUIDs )]\n",
+ " \n",
+ " savefile = os.path.join( OUTPATH, filename.replace( 'CH' , 'GE' ) )\n",
+ " data_VD.to_csv( savefile, index = False )\n",
+ " \n",
+ " print('Saved %s' %savefile)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "282850"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(SB_UUIDs)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "177007"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(data_VD)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# SAVING AS INTS SAVES HALF THE STORAGE!!\n",
+ "savefile = os.path.join( OUTPATH, 'test_int' + filename )\n",
+ "data_VD.set_index('SB_UUID').astype(int).to_csv(savefile)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Validations/Check_GWR.ipynb b/Validations/Check_GWR.ipynb
index 7bd88dd..9f4b965 100644
--- a/Validations/Check_GWR.ipynb
+++ b/Validations/Check_GWR.ipynb
@@ -1,376 +1,376 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"GWR_cols = pd.read_csv('/Users/alinawalch/Documents/EPFL/data/GWR/Maske_EINZELD-GEB.csv').columns\n",
"GWR = pd.read_csv('/Users/alinawalch/Documents/EPFL/data/GWR/EPFL-150701-GEB.txt',\n",
" header = None, names = GWR_cols, sep = '\\t', encoding = 'cp1250' )"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>GDEKT</th>\n",
" <th>GDENR</th>\n",
" <th>GDENAMK</th>\n",
" <th>EGID</th>\n",
" <th>GPARZ</th>\n",
" <th>GGBKR</th>\n",
" <th>GEBNR</th>\n",
" <th>GBEZ</th>\n",
" <th>ESTRID</th>\n",
" <th>STRNAMK1</th>\n",
" <th>...</th>\n",
" <th>GAREA</th>\n",
" <th>GASTW</th>\n",
" <th>GANZWHG</th>\n",
" <th>GAZZI</th>\n",
" <th>GHEIZ</th>\n",
" <th>GENHZ</th>\n",
" <th>GWWV</th>\n",
" <th>GENWW</th>\n",
" <th>DMUTDAT</th>\n",
" <th>DEXPDAT</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>TG</td>\n",
" <td>4590</td>\n",
" <td>Hüttlingen</td>\n",
" <td>400064214</td>\n",
" <td>2150</td>\n",
" <td>0.0</td>\n",
" <td>3/29</td>\n",
" <td>NaN</td>\n",
" <td>1125563</td>\n",
" <td>Geeregass</td>\n",
" <td>...</td>\n",
" <td>25.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>14.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>TG</td>\n",
" <td>4721</td>\n",
" <td>Bichelsee-Balterswil</td>\n",
" <td>400063706</td>\n",
" <td>192</td>\n",
" <td>0.0</td>\n",
" <td>1/.052</td>\n",
" <td>NaN</td>\n",
" <td>1126980</td>\n",
" <td>Riesenbergstr.</td>\n",
" <td>...</td>\n",
" <td>10.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>27.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>TG</td>\n",
" <td>4946</td>\n",
" <td>Weinfelden</td>\n",
" <td>400064183</td>\n",
" <td>2796</td>\n",
" <td>0.0</td>\n",
" <td>2259</td>\n",
" <td>NaN</td>\n",
" <td>1129096</td>\n",
" <td>Florastr.</td>\n",
" <td>...</td>\n",
" <td>16.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>27.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>TG</td>\n",
" <td>4566</td>\n",
" <td>Frauenfeld</td>\n",
" <td>400064684</td>\n",
" <td>1097</td>\n",
" <td>0.0</td>\n",
" <td>1/720</td>\n",
" <td>NaN</td>\n",
" <td>1125237</td>\n",
" <td>Blumenstr.</td>\n",
" <td>...</td>\n",
" <td>16.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>14.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>TG</td>\n",
" <td>4921</td>\n",
" <td>Bussnang</td>\n",
" <td>400064700</td>\n",
" <td>7038</td>\n",
" <td>0.0</td>\n",
" <td>9/.024</td>\n",
" <td>NaN</td>\n",
" <td>1128909</td>\n",
" <td>Laagasse</td>\n",
" <td>...</td>\n",
" <td>32.0</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>27.11.2014</td>\n",
" <td>01.07.2015</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 31 columns</p>\n",
"</div>"
],
"text/plain": [
" GDEKT GDENR GDENAMK EGID GPARZ GGBKR GEBNR GBEZ \\\n",
"0 TG 4590 Hüttlingen 400064214 2150 0.0 3/29 NaN \n",
"1 TG 4721 Bichelsee-Balterswil 400063706 192 0.0 1/.052 NaN \n",
"2 TG 4946 Weinfelden 400064183 2796 0.0 2259 NaN \n",
"3 TG 4566 Frauenfeld 400064684 1097 0.0 1/720 NaN \n",
"4 TG 4921 Bussnang 400064700 7038 0.0 9/.024 NaN \n",
"\n",
" ESTRID STRNAMK1 ... GAREA GASTW GANZWHG GAZZI GHEIZ \\\n",
"0 1125563 Geeregass ... 25.0 NaN 0 NaN NaN \n",
"1 1126980 Riesenbergstr. ... 10.0 NaN 0 NaN NaN \n",
"2 1129096 Florastr. ... 16.0 NaN 0 NaN NaN \n",
"3 1125237 Blumenstr. ... 16.0 NaN 0 NaN NaN \n",
"4 1128909 Laagasse ... 32.0 NaN 0 NaN NaN \n",
"\n",
" GENHZ GWWV GENWW DMUTDAT DEXPDAT \n",
"0 NaN NaN NaN 14.11.2014 01.07.2015 \n",
"1 NaN NaN NaN 27.11.2014 01.07.2015 \n",
"2 NaN NaN NaN 27.11.2014 01.07.2015 \n",
"3 NaN NaN NaN 14.11.2014 01.07.2015 \n",
"4 NaN NaN NaN 27.11.2014 01.07.2015 \n",
"\n",
"[5 rows x 31 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"GWR.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total number of GWR buildings in Switzerland: 1992340\n"
]
}
],
"source": [
"print('Total number of GWR buildings in Switzerland: %d' %len(GWR))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of buildings with complete information: 30219\n"
]
}
],
"source": [
"print('Number of buildings with complete information: %d' %len(GWR.dropna()))"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of buildings with building period information: 1878456\n",
"Percentage of buildings with building period information: 94.28%\n"
]
}
],
"source": [
"buildings_with_baup = GWR.dropna( subset = ['GBAUP'] )\n",
"print('Number of buildings with building period information: %d' %len(buildings_with_baup))\n",
"print('Percentage of buildings with building period information: %.2f%%' %(len(buildings_with_baup)/len(GWR)*100))"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of buildings built before 2000: 1705144\n",
"Percentage of buildings built before 2000: 90.77%\n"
]
}
],
"source": [
"buildings_before_2000 = buildings_with_baup[ buildings_with_baup.GBAUP < 8021 ]\n",
"print('Number of buildings built before 2000: %d' %len(buildings_before_2000))\n",
"print('Percentage of buildings built before 2000: %.2f%%' %(len(buildings_before_2000)/len(buildings_with_baup)*100))"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of buildings (with building period information) in Geneva canton: 49564\n",
"Percentage of buildings (with building period information) in Geneva canton: 2.64%\n"
]
}
],
"source": [
"buildings_GVA_with_baup = buildings_with_baup[ buildings_with_baup.GDEKT == 'GE' ]\n",
"print('Number of buildings (with building period information) in Geneva canton: %d' %len(buildings_GVA_with_baup))\n",
"print('Percentage of buildings (with building period information) in Geneva canton: %.2f%%' %(len(buildings_GVA_with_baup)/len(buildings_with_baup)*100))"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Percentage of buildings in GVA canton built before 2000: 92.72%\n",
"Percentage of buildings in GVA canton built after 2000: 7.28%\n"
]
}
],
"source": [
"buildings_GVA_before_2000 = buildings_GVA_with_baup[ buildings_GVA_with_baup.GBAUP < 8021 ]\n",
"print('Percentage of buildings in GVA canton built before 2000: %.2f%%' %(len(buildings_GVA_before_2000)/len(buildings_GVA_with_baup)*100))\n",
"print('Percentage of buildings in GVA canton built after 2000: %.2f%%' %(100 - len(buildings_GVA_before_2000)/len(buildings_GVA_with_baup)*100))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.3"
+ "version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
diff --git a/Visualisation/paper_figures.ipynb b/Visualisation/paper_figures.ipynb
index 5106797..02ddc0a 100644
--- a/Visualisation/paper_figures.ipynb
+++ b/Visualisation/paper_figures.ipynb
@@ -1,23232 +1,23232 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Applications/anaconda2/envs/py3_geo/lib/python3.7/site-packages/xarray/core/merge.py:17: FutureWarning: The Panel class is removed from pandas. Accessing it from the top-level namespace will also be removed in the next version\n",
" PANDAS_TYPES = (pd.Series, pd.DataFrame, pd.Panel)\n"
]
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import xarray as xr\n",
"import geopandas as gpd\n",
"from osgeo import gdal \n",
"\n",
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.colors import LinearSegmentedColormap\n",
"import matplotlib\n",
"import matplotlib.patches as mpatches\n",
"\n",
"import calendar\n",
"import sys\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"colorsRGB = [(47,111,191),\n",
" (51,148,190),\n",
" (65,195,153),\n",
" (105,219,77),\n",
" (183,233,81),\n",
" (249,239,88),\n",
" (250,201,53),\n",
" (246,135,26),\n",
" (220,82,7),\n",
" (193,31,4)]\n",
"colors = []\n",
"for row in colorsRGB:\n",
" colors.append(tuple([i/255.0 for i in row]))\n",
" \n",
"cm_PV = LinearSegmentedColormap.from_list('radiation', colors, N=500)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def get_month(df, month):\n",
" return df.where( df.month == month, drop = True )"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def rad(angle):\n",
" return angle * np.pi/180"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"DATA_PATH = '/Users/alinawalch/Documents/OneDrive - epfl.ch/Publications/PV_potential/data_figures'\n",
"FIGURE_PATH = '/Users/alinawalch/Documents/OneDrive - epfl.ch/Publications/PV_potential/figures_redone'"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"BASE_SIZE = 14\n",
"FTR_IMP_SIZE = BASE_SIZE + 1\n",
"PIXELMAP_SIZE = BASE_SIZE - 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Hourly feature importance - radiation"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
"ftr_importance_rad = pd.read_csv( os.path.join( DATA_PATH, 'importances_all.csv' ), index_col = 0 )"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>z</th>\n",
" <th>x</th>\n",
" <th>y</th>\n",
" <th>smallDoG</th>\n",
" <th>medDoG</th>\n",
" <th>bigDoG</th>\n",
" <th>smallSlope</th>\n",
" <th>medSlope</th>\n",
" <th>bigSlope</th>\n",
" <th>small_NS</th>\n",
" <th>small_EW</th>\n",
" <th>big_NS</th>\n",
" <th>big_EW</th>\n",
" <th>month</th>\n",
" <th>hour</th>\n",
" <th>other</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>0.150225</td>\n",
" <td>0.339610</td>\n",
" <td>0.041198</td>\n",
" <td>0.029886</td>\n",
" <td>0.035568</td>\n",
" <td>0.082531</td>\n",
" <td>0.073123</td>\n",
" <td>0.027730</td>\n",
" <td>0.051464</td>\n",
" <td>0.035589</td>\n",
" <td>0.031052</td>\n",
" <td>0.044294</td>\n",
" <td>0.057730</td>\n",
" <td>1.0</td>\n",
" <td>6</td>\n",
" <td>0.455530</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>0.382693</td>\n",
" <td>0.121189</td>\n",
" <td>0.038859</td>\n",
" <td>0.047128</td>\n",
" <td>0.075626</td>\n",
" <td>0.037944</td>\n",
" <td>0.034882</td>\n",
" <td>0.040181</td>\n",
" <td>0.036494</td>\n",
" <td>0.038767</td>\n",
" <td>0.040240</td>\n",
" <td>0.043637</td>\n",
" <td>0.062361</td>\n",
" <td>1.0</td>\n",
" <td>7</td>\n",
" <td>0.438535</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>0.614559</td>\n",
" <td>0.044256</td>\n",
" <td>0.030623</td>\n",
" <td>0.033464</td>\n",
" <td>0.038329</td>\n",
" <td>0.024446</td>\n",
" <td>0.022369</td>\n",
" <td>0.023869</td>\n",
" <td>0.020949</td>\n",
" <td>0.030336</td>\n",
" <td>0.043176</td>\n",
" <td>0.037172</td>\n",
" <td>0.036454</td>\n",
" <td>1.0</td>\n",
" <td>8</td>\n",
" <td>0.311280</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>0.691021</td>\n",
" <td>0.030477</td>\n",
" <td>0.038043</td>\n",
" <td>0.033552</td>\n",
" <td>0.038413</td>\n",
" <td>0.025094</td>\n",
" <td>0.018478</td>\n",
" <td>0.018928</td>\n",
" <td>0.021236</td>\n",
" <td>0.021756</td>\n",
" <td>0.020699</td>\n",
" <td>0.023005</td>\n",
" <td>0.019299</td>\n",
" <td>1.0</td>\n",
" <td>9</td>\n",
" <td>0.244165</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>0.682949</td>\n",
" <td>0.031399</td>\n",
" <td>0.077452</td>\n",
" <td>0.029951</td>\n",
" <td>0.024436</td>\n",
" <td>0.021478</td>\n",
" <td>0.019194</td>\n",
" <td>0.019221</td>\n",
" <td>0.020991</td>\n",
" <td>0.017898</td>\n",
" <td>0.019400</td>\n",
" <td>0.017197</td>\n",
" <td>0.018435</td>\n",
" <td>1.0</td>\n",
" <td>10</td>\n",
" <td>0.206961</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" z x y smallDoG medDoG bigDoG smallSlope \\\n",
"6 0.150225 0.339610 0.041198 0.029886 0.035568 0.082531 0.073123 \n",
"7 0.382693 0.121189 0.038859 0.047128 0.075626 0.037944 0.034882 \n",
"8 0.614559 0.044256 0.030623 0.033464 0.038329 0.024446 0.022369 \n",
"9 0.691021 0.030477 0.038043 0.033552 0.038413 0.025094 0.018478 \n",
"10 0.682949 0.031399 0.077452 0.029951 0.024436 0.021478 0.019194 \n",
"\n",
" medSlope bigSlope small_NS small_EW big_NS big_EW month hour \\\n",
"6 0.027730 0.051464 0.035589 0.031052 0.044294 0.057730 1.0 6 \n",
"7 0.040181 0.036494 0.038767 0.040240 0.043637 0.062361 1.0 7 \n",
"8 0.023869 0.020949 0.030336 0.043176 0.037172 0.036454 1.0 8 \n",
"9 0.018928 0.021236 0.021756 0.020699 0.023005 0.019299 1.0 9 \n",
"10 0.019221 0.020991 0.017898 0.019400 0.017197 0.018435 1.0 10 \n",
"\n",
" other \n",
"6 0.455530 \n",
"7 0.438535 \n",
"8 0.311280 \n",
"9 0.244165 \n",
"10 0.206961 "
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ftr_importance_rad.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Feature importance in summer"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
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"\n",
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" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
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"\n",
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"\n",
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" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
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"\n",
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"\n",
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" }\n",
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"\n",
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"\n",
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"}\n",
"\n",
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" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
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" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
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"\n",
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"\n",
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"\n",
"}\n",
"\n",
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"\n",
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" }\n",
"\n",
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" this.canvas_div = canvas_div\n",
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"\n",
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" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
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" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
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\" width=\"550\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': FTR_IMP_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"MONTH = 7\n",
"df = ftr_importance_rad.loc[(ftr_importance_rad.month == MONTH)][['z','x','y','medDoG',\n",
" 'smallDoG','big_EW','big_NS', 'hour']].set_index('hour')\n",
"fig, ax = plt.subplots(figsize = (5.5, 5))\n",
"# plt.title(\"Feature importance (%s)\" %calendar.month_name[MONTH])\n",
"df.plot(ax=ax, linewidth = 2)\n",
"ax.set_xticks(df.index[::2])\n",
"ax.set_xlabel('Hour')\n",
"ax.set_ylabel('Importance')\n",
"\n",
"# Shrink current axis by 20%\n",
"box = ax.get_position()\n",
"ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
"\n",
"ax.legend('')\n",
"ax.yaxis.grid(ls = '--')\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'importance_%s.pdf' %calendar.month_name[MONTH]))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Feature importance in winter"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"550\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': FTR_IMP_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"MONTH = 12\n",
"df = ftr_importance_rad.loc[(ftr_importance_rad.month == MONTH)][['z','x','y',\n",
" 'medDoG','smallDoG',\n",
" 'big_EW','big_NS', 'hour']].set_index('hour')\n",
"\n",
"fig, ax = plt.subplots(figsize = (5.5, 5))\n",
"# plt.title(\"Feature importance (%s)\" %calendar.month_name[MONTH])\n",
"df.plot(ax=ax, linewidth = 2)\n",
"ax.set_xticks(df.index[::2])\n",
"ax.set_xticklabels(np.asarray(range(6,22)).astype(str)[::2])\n",
"ax.set_xlabel('Hour')\n",
"ax.set_ylabel('Importance')\n",
"\n",
"# Shrink current axis by 20%\n",
"box = ax.get_position()\n",
"ax.set_position([box.x0, box.y0, box.width , box.height])\n",
"\n",
"# Put a legend to the right of the current axis\n",
"ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
"ax.yaxis.grid(ls = '--')\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'importance_%s.pdf' %calendar.month_name[MONTH]))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Feature importance - $C_{pv}$ and $C_{sh}$"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Feature importance for $C_{pv}$"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"ftr_importance_Cpv = pd.read_csv( os.path.join( DATA_PATH, 'ftr_importance_Cpv.csv' ), index_col = 0 )"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Importance</th>\n",
" <th>Std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>$C_{pv}^{F}$</th>\n",
" <td>0.195962</td>\n",
" <td>0.078170</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof area</th>\n",
" <td>0.170472</td>\n",
" <td>0.123536</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof shape</th>\n",
" <td>0.161030</td>\n",
" <td>0.114278</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof length</th>\n",
" <td>0.110404</td>\n",
" <td>0.098217</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof tilt</th>\n",
" <td>0.089375</td>\n",
" <td>0.050861</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Panel tilt</th>\n",
" <td>0.088361</td>\n",
" <td>0.037446</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof aspect</th>\n",
" <td>0.030613</td>\n",
" <td>0.016464</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. type</th>\n",
" <td>0.029409</td>\n",
" <td>0.003387</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. area</th>\n",
" <td>0.028341</td>\n",
" <td>0.004256</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. period</th>\n",
" <td>0.027831</td>\n",
" <td>0.004949</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof corners</th>\n",
" <td>0.025580</td>\n",
" <td>0.013206</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. density</th>\n",
" <td>0.024818</td>\n",
" <td>0.002284</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. floors</th>\n",
" <td>0.017803</td>\n",
" <td>0.004907</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Importance Std\n",
"$C_{pv}^{F}$ 0.195962 0.078170\n",
"Roof area 0.170472 0.123536\n",
"Roof shape 0.161030 0.114278\n",
"Roof length 0.110404 0.098217\n",
"Roof tilt 0.089375 0.050861\n",
"Panel tilt 0.088361 0.037446\n",
"Roof aspect 0.030613 0.016464\n",
"Build. type 0.029409 0.003387\n",
"Build. area 0.028341 0.004256\n",
"Build. period 0.027831 0.004949\n",
"Roof corners 0.025580 0.013206\n",
"Build. density 0.024818 0.002284\n",
"Build. floors 0.017803 0.004907"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ftr_importance_Cpv"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"label_dict = {'Roof tilt' : 'Tilt angle',\n",
" 'Roof aspect' : 'Aspect angle',\n",
" 'Roof area' : 'Tilted area',\n",
" 'Build. area' : 'Footprint area',\n",
" 'Roof shape' : 'Shape index',\n",
" 'Roof length' : 'Perimeter',\n",
" 'Build. period' : 'Constr. period',\n",
" 'Roof corners': 'Vertex count',\n",
" 'Build. floors' : 'Nb. of floors' }"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"ftr_importance_Cpv = ftr_importance_Cpv.rename( label_dict )"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"scrolled": false
},
"outputs": [
{
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" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plot_df = ftr_importance_Cpv.sort_values('Importance')\n",
"n_features = len(plot_df)\n",
"\n",
"plt.figure()\n",
"ax = plt.axes()\n",
"plt.barh( range(n_features), plot_df.Importance, \n",
" color=\"r\", alpha=0.4, align=\"center\") # xerr=plot_df.Std, \n",
"plt.yticks(range(n_features), plot_df.index) \n",
"\n",
"ax.set_axisbelow(True)\n",
"ax.xaxis.grid(linestyle = '--')\n",
"\n",
"plt.show()\n",
"\n",
"plt.tight_layout()\n",
"plt.subplots_adjust(left=0.25)\n",
"plt.savefig(os.path.join(FIGURE_PATH,'Feature_importance_panels.pdf'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Feature importance for $C_{sh}$"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"ftr_importance_Csh = pd.read_csv( os.path.join( DATA_PATH, 'ftr_importance_Csh.csv' ), index_col = 0 )"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Importance</th>\n",
" <th>Std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>$C_{sh}^{F}$</th>\n",
" <td>0.409386</td>\n",
" <td>0.024251</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof tilt</th>\n",
" <td>0.099884</td>\n",
" <td>0.015858</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof aspect</th>\n",
" <td>0.061828</td>\n",
" <td>0.008031</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof area</th>\n",
" <td>0.061300</td>\n",
" <td>0.010535</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. type</th>\n",
" <td>0.060430</td>\n",
" <td>0.003788</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof length</th>\n",
" <td>0.059593</td>\n",
" <td>0.009479</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof shape</th>\n",
" <td>0.054122</td>\n",
" <td>0.005521</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. area</th>\n",
" <td>0.051025</td>\n",
" <td>0.003720</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. period</th>\n",
" <td>0.046210</td>\n",
" <td>0.003541</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. density</th>\n",
" <td>0.045529</td>\n",
" <td>0.003040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roof corners</th>\n",
" <td>0.026987</td>\n",
" <td>0.002767</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Build. floors</th>\n",
" <td>0.023706</td>\n",
" <td>0.003825</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Importance Std\n",
"$C_{sh}^{F}$ 0.409386 0.024251\n",
"Roof tilt 0.099884 0.015858\n",
"Roof aspect 0.061828 0.008031\n",
"Roof area 0.061300 0.010535\n",
"Build. type 0.060430 0.003788\n",
"Roof length 0.059593 0.009479\n",
"Roof shape 0.054122 0.005521\n",
"Build. area 0.051025 0.003720\n",
"Build. period 0.046210 0.003541\n",
"Build. density 0.045529 0.003040\n",
"Roof corners 0.026987 0.002767\n",
"Build. floors 0.023706 0.003825"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ftr_importance_Csh"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"ftr_importance_Csh = ftr_importance_Csh.rename( label_dict )"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plot_df = ftr_importance_Csh.sort_values('Importance')\n",
"n_features = len(plot_df)\n",
"\n",
"plt.figure()\n",
"ax = plt.axes()\n",
"plt.barh( range(n_features), plot_df.Importance,\n",
" color=\"r\", alpha=0.4, align=\"center\") # xerr=plot_df.Std, \n",
"plt.yticks(range(n_features), plot_df.index) \n",
"\n",
"ax.set_axisbelow(True)\n",
"ax.xaxis.grid(linestyle = '--')\n",
"\n",
"plt.show()\n",
"plt.tight_layout()\n",
"plt.subplots_adjust(left=0.25)\n",
"plt.savefig(os.path.join(FIGURE_PATH,'Feature_importance_shade.pdf'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Physical potential"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"G_annual = xr.open_dataset( os.path.join(DATA_PATH, 'G_horizontal_annual.nc') )"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x: 1742, y: 1103)\n",
"Coordinates:\n",
" * x (x) float64 4.855e+05 4.857e+05 ... 8.335e+05 8.337e+05\n",
" * y (y) float64 7.529e+04 7.549e+04 ... 2.955e+05 2.957e+05\n",
"Data variables:\n",
" SIS (x, y) float64 ...\n",
" SISDIR (x, y) float64 ...\n",
" SIS_unc (x, y) float64 ...\n",
" SISDIR_unc (x, y) float64 ..."
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"G_annual"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Global horizontal radiation and its uncertainty"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"vmin = None\n",
"vmax = 1650\n",
"\n",
"# PLOTTING (total radiation)\n",
"ctext = 'Annual $G_h$ ($kWh/m^2$)'\n",
"\n",
"fig, ax = plt.subplots(figsize = (6.4, 3.2)) # \n",
"\n",
"ax.axis('equal')\n",
"ax.axis('off')\n",
"\n",
"G_annual.SIS.attrs['long_name'] = ctext\n",
"p = G_annual.SIS.plot(ax = ax, x = 'x', y = 'y', vmax = vmax, vmin = vmin)\n",
"p.set_cmap(cm_PV)\n",
"\n",
"plt.title('')\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'SIS_annual.jpg'), dpi = 1000)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"vmin = None\n",
"vmax = 225\n",
"\n",
"# PLOTTING (total radiation)\n",
"ctext = '$\\sigma_{Gh}$ ($kWh/m^2$)'\n",
"\n",
"fig, ax = plt.subplots(figsize = (6.4,3.2)) # \n",
"\n",
"ax.axis('equal')\n",
"ax.axis('off')\n",
"\n",
"G_annual.SIS_unc.attrs['long_name'] = ctext\n",
"p = G_annual.SIS_unc.plot(ax = ax, x = 'x', y = 'y', vmax = vmax, vmin = vmin)\n",
"p.set_cmap(cm_PV)\n",
"plt.title('')\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'SIS_unc_annual.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Direct horizontal radiation and its uncertainty"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"vmin = None\n",
"vmax = 1050\n",
"\n",
"# PLOTTING (total radiation)\n",
"ctext = 'Annual $G_B$ ($kWh/m^2$)'\n",
"\n",
"fig, ax = plt.subplots(figsize = (6.4, 3.2)) # \n",
"\n",
"ax.axis('equal')\n",
"ax.axis('off')\n",
"\n",
"G_annual.SISDIR.attrs['long_name'] = ctext\n",
"p = G_annual.SISDIR.plot(ax = ax, x = 'x', y = 'y', vmax = vmax, vmin = vmin)\n",
"p.set_cmap(cm_PV)\n",
"\n",
"plt.title('')\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'SISDIR_annual.jpg'), dpi = 1000)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"vmin = None\n",
"vmax = 225\n",
"\n",
"# PLOTTING (total radiation)\n",
"ctext = '$\\sigma_{GB}$ ($kWh/m^2$)'\n",
"\n",
"fig, ax = plt.subplots(figsize = (6.4,3.2)) # \n",
"\n",
"ax.axis('equal')\n",
"ax.axis('off')\n",
"\n",
"G_annual.SISDIR_unc.attrs['long_name'] = ctext\n",
"p = G_annual.SISDIR_unc.plot(ax = ax, x = 'x', y = 'y', vmax = vmax, vmin = vmin)\n",
"p.set_cmap(cm_PV)\n",
"plt.title('')\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'SISDIR_unc_annual.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Results $C_{pv}$"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"Cpv_tilt_area = pd.read_csv( os.path.join( DATA_PATH, 'Csh_Cpv_area_tilt.csv' ), index_col = [0, 1] )"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>prediction_panels</th>\n",
" <th>total_std_panels</th>\n",
" <th>prediction_shade</th>\n",
" <th>total_std_shade</th>\n",
" </tr>\n",
" <tr>\n",
" <th>area_log_round</th>\n",
" <th>tilt_round</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"5\" valign=\"top\">0.7</th>\n",
" <th>0.0</th>\n",
" <td>0.000050</td>\n",
" <td>0.000152</td>\n",
" <td>0.000886</td>\n",
" <td>0.000789</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5.0</th>\n",
" <td>0.000074</td>\n",
" <td>0.000140</td>\n",
" <td>0.000687</td>\n",
" <td>0.000635</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10.0</th>\n",
" <td>0.000075</td>\n",
" <td>0.000152</td>\n",
" <td>0.000869</td>\n",
" <td>0.000798</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15.0</th>\n",
" <td>0.000056</td>\n",
" <td>0.000159</td>\n",
" <td>0.001401</td>\n",
" <td>0.001295</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20.0</th>\n",
" <td>0.000059</td>\n",
" <td>0.000184</td>\n",
" <td>0.001656</td>\n",
" <td>0.001536</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" prediction_panels total_std_panels \\\n",
"area_log_round tilt_round \n",
"0.7 0.0 0.000050 0.000152 \n",
" 5.0 0.000074 0.000140 \n",
" 10.0 0.000075 0.000152 \n",
" 15.0 0.000056 0.000159 \n",
" 20.0 0.000059 0.000184 \n",
"\n",
" prediction_shade total_std_shade \n",
"area_log_round tilt_round \n",
"0.7 0.0 0.000886 0.000789 \n",
" 5.0 0.000687 0.000635 \n",
" 10.0 0.000869 0.000798 \n",
" 15.0 0.001401 0.001295 \n",
" 20.0 0.001656 0.001536 "
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Cpv_tilt_area.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Panelled area ratio"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"Cpv_array = Cpv_tilt_area['prediction_panels'].to_xarray()\n",
"Cpv_array.coords['area_log_round'] = 10**(Cpv_array.area_log_round)\n",
"\n",
"Cpv_array.attrs['long_name'] = 'Average $C_{pv}$'\n",
"\n",
"plt.figure()\n",
"ax = plt.subplot()\n",
"\n",
"Cpv_array.plot(cmap = cm_PV)\n",
"ax.set_yscale('log')\n",
"plt.xlabel('Roof tilt (in degree)')\n",
"plt.ylabel('Roof area (in $m^2$)')\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'panelled_area_ratio.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Uncertainty of $C_{pv}$"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"Cpv_unc_array = Cpv_tilt_area['total_std_panels'].to_xarray()\n",
"Cpv_unc_array.coords['area_log_round'] = 10**(Cpv_unc_array.area_log_round)\n",
"\n",
"Cpv_unc_array.attrs['long_name'] = 'Average $\\sigma_{Cpv}$'\n",
"\n",
"plt.figure()\n",
"ax = plt.subplot()\n",
"\n",
"Cpv_unc_array.plot(cmap = cm_PV)\n",
"ax.set_yscale('log')\n",
"plt.xlabel('Roof tilt (in degree)')\n",
"plt.ylabel('Roof area (in $m^2$)')\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'panelled_area_unc.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Results $C_{sh}$"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"Csh_tilt_asp = pd.read_csv( os.path.join( DATA_PATH, 'Csh_Cpv_tilt_aspect.csv' ), index_col = [0, 1] )"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>prediction_panels</th>\n",
" <th>total_std_panels</th>\n",
" <th>prediction_shade</th>\n",
" <th>total_std_shade</th>\n",
" <th>unshaded_ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th>tilt_round</th>\n",
" <th>aspect_round</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>-10.0</th>\n",
" <th>0.0</th>\n",
" <td>0.129813</td>\n",
" <td>0.042205</td>\n",
" <td>0.169951</td>\n",
" <td>0.149721</td>\n",
" <td>0.830049</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">0.0</th>\n",
" <th>-180.0</th>\n",
" <td>0.264633</td>\n",
" <td>0.091646</td>\n",
" <td>0.128824</td>\n",
" <td>0.128718</td>\n",
" <td>0.871176</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-170.0</th>\n",
" <td>0.237899</td>\n",
" <td>0.082951</td>\n",
" <td>0.119519</td>\n",
" <td>0.117533</td>\n",
" <td>0.880481</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-160.0</th>\n",
" <td>0.249866</td>\n",
" <td>0.084537</td>\n",
" <td>0.122688</td>\n",
" <td>0.118507</td>\n",
" <td>0.877312</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-150.0</th>\n",
" <td>0.253169</td>\n",
" <td>0.088269</td>\n",
" <td>0.130658</td>\n",
" <td>0.125173</td>\n",
" <td>0.869342</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" prediction_panels total_std_panels \\\n",
"tilt_round aspect_round \n",
"-10.0 0.0 0.129813 0.042205 \n",
" 0.0 -180.0 0.264633 0.091646 \n",
" -170.0 0.237899 0.082951 \n",
" -160.0 0.249866 0.084537 \n",
" -150.0 0.253169 0.088269 \n",
"\n",
" prediction_shade total_std_shade unshaded_ratio \n",
"tilt_round aspect_round \n",
"-10.0 0.0 0.169951 0.149721 0.830049 \n",
" 0.0 -180.0 0.128824 0.128718 0.871176 \n",
" -170.0 0.119519 0.117533 0.880481 \n",
" -160.0 0.122688 0.118507 0.877312 \n",
" -150.0 0.130658 0.125173 0.869342 "
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Csh_tilt_asp.head()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"FLAT = -10\n",
"ASP_ROUND = 10"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Shaded area ratio (1 - $C_{sh}$)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
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" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
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"\n",
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" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
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"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
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"\n",
" this.imageObj.onload = function() {\n",
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"\n",
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"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
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"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plot_var = Csh_tilt_asp['unshaded_ratio']\n",
"plot_array = plot_var.to_xarray()\n",
"\n",
"plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"# prepare data\n",
"data = plot_array.values\n",
"theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
"tilts = plot_array.tilt_round\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"fig = plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"\n",
"plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX, cmap = cm_PV)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Average (1 - $C_{sh}$)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_xticklabels( xticks )\n",
"ax.set_rticks( np.asarray(ax.get_yticks())-2 )\n",
"ax.set_yticklabels( yticks )\n",
"\n",
"ax.text(60,85, 'Tilt angle')\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'Shade_slope_azimuth.jpg'), dpi = 1000)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plot_var = Csh_tilt_asp['total_std_shade']\n",
"plot_array = plot_var.to_xarray()\n",
"\n",
"plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"\n",
"# prepare data\n",
"data = plot_array.values\n",
"theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
"tilts = plot_array.tilt_round\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"\n",
"plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX, cmap = cm_PV)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Average $\\sigma_{Csh}$')\n",
"\n",
"# FORMATTING\n",
"xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_xticklabels( xticks )\n",
"ax.set_rticks( np.asarray(ax.get_yticks())-2 )\n",
"ax.set_yticklabels( yticks )\n",
"ax.text(60,85, 'Tilt angle')\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'Shade_slope_azimuth_unc.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Results $S_{sh}$"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Hourly tilt/aspect plots for given hours in June"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>06h</th>\n",
" <th>07h</th>\n",
" <th>08h</th>\n",
" <th>09h</th>\n",
" <th>10h</th>\n",
" <th>11h</th>\n",
" <th>12h</th>\n",
" <th>13h</th>\n",
" <th>14h</th>\n",
" <th>15h</th>\n",
" <th>16h</th>\n",
" <th>17h</th>\n",
" <th>18h</th>\n",
" <th>19h</th>\n",
" <th>20h</th>\n",
" <th>21h</th>\n",
" </tr>\n",
" <tr>\n",
" <th>tilt_round</th>\n",
" <th>aspect_round</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>-10.0</th>\n",
" <th>0.0</th>\n",
" <td>0.267258</td>\n",
" <td>0.528376</td>\n",
" <td>0.717869</td>\n",
" <td>0.836993</td>\n",
" <td>0.910967</td>\n",
" <td>0.960692</td>\n",
" <td>0.995692</td>\n",
" <td>0.998938</td>\n",
" <td>0.998799</td>\n",
" <td>0.994041</td>\n",
" <td>0.952390</td>\n",
" <td>0.902966</td>\n",
" <td>0.830747</td>\n",
" <td>0.714368</td>\n",
" <td>0.522775</td>\n",
" <td>0.251049</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">0.0</th>\n",
" <th>-180.0</th>\n",
" <td>0.318963</td>\n",
" <td>0.612091</td>\n",
" <td>0.792730</td>\n",
" <td>0.892034</td>\n",
" <td>0.948690</td>\n",
" <td>0.979434</td>\n",
" <td>0.997290</td>\n",
" <td>0.999538</td>\n",
" <td>0.999457</td>\n",
" <td>0.997116</td>\n",
" <td>0.975763</td>\n",
" <td>0.942158</td>\n",
" <td>0.886137</td>\n",
" <td>0.779190</td>\n",
" <td>0.581539</td>\n",
" <td>0.279250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-170.0</th>\n",
" <td>0.317642</td>\n",
" <td>0.602023</td>\n",
" <td>0.791305</td>\n",
" <td>0.896093</td>\n",
" <td>0.950945</td>\n",
" <td>0.979181</td>\n",
" <td>0.997625</td>\n",
" <td>0.999416</td>\n",
" <td>0.999308</td>\n",
" <td>0.997177</td>\n",
" <td>0.975186</td>\n",
" <td>0.941866</td>\n",
" <td>0.884135</td>\n",
" <td>0.775804</td>\n",
" <td>0.570870</td>\n",
" <td>0.265832</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-160.0</th>\n",
" <td>0.327622</td>\n",
" <td>0.598268</td>\n",
" <td>0.784663</td>\n",
" <td>0.890295</td>\n",
" <td>0.946564</td>\n",
" <td>0.978624</td>\n",
" <td>0.997584</td>\n",
" <td>0.999393</td>\n",
" <td>0.999226</td>\n",
" <td>0.997104</td>\n",
" <td>0.973890</td>\n",
" <td>0.939275</td>\n",
" <td>0.880367</td>\n",
" <td>0.763589</td>\n",
" <td>0.569789</td>\n",
" <td>0.265838</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-150.0</th>\n",
" <td>0.333235</td>\n",
" <td>0.597222</td>\n",
" <td>0.783184</td>\n",
" <td>0.887131</td>\n",
" <td>0.946202</td>\n",
" <td>0.977948</td>\n",
" <td>0.996760</td>\n",
" <td>0.999287</td>\n",
" <td>0.999313</td>\n",
" <td>0.997125</td>\n",
" <td>0.973411</td>\n",
" <td>0.937285</td>\n",
" <td>0.870911</td>\n",
" <td>0.751457</td>\n",
" <td>0.558876</td>\n",
" <td>0.256837</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 06h 07h 08h 09h 10h \\\n",
"tilt_round aspect_round \n",
"-10.0 0.0 0.267258 0.528376 0.717869 0.836993 0.910967 \n",
" 0.0 -180.0 0.318963 0.612091 0.792730 0.892034 0.948690 \n",
" -170.0 0.317642 0.602023 0.791305 0.896093 0.950945 \n",
" -160.0 0.327622 0.598268 0.784663 0.890295 0.946564 \n",
" -150.0 0.333235 0.597222 0.783184 0.887131 0.946202 \n",
"\n",
" 11h 12h 13h 14h 15h \\\n",
"tilt_round aspect_round \n",
"-10.0 0.0 0.960692 0.995692 0.998938 0.998799 0.994041 \n",
" 0.0 -180.0 0.979434 0.997290 0.999538 0.999457 0.997116 \n",
" -170.0 0.979181 0.997625 0.999416 0.999308 0.997177 \n",
" -160.0 0.978624 0.997584 0.999393 0.999226 0.997104 \n",
" -150.0 0.977948 0.996760 0.999287 0.999313 0.997125 \n",
"\n",
" 16h 17h 18h 19h 20h \\\n",
"tilt_round aspect_round \n",
"-10.0 0.0 0.952390 0.902966 0.830747 0.714368 0.522775 \n",
" 0.0 -180.0 0.975763 0.942158 0.886137 0.779190 0.581539 \n",
" -170.0 0.975186 0.941866 0.884135 0.775804 0.570870 \n",
" -160.0 0.973890 0.939275 0.880367 0.763589 0.569789 \n",
" -150.0 0.973411 0.937285 0.870911 0.751457 0.558876 \n",
"\n",
" 21h \n",
"tilt_round aspect_round \n",
"-10.0 0.0 0.251049 \n",
" 0.0 -180.0 0.279250 \n",
" -170.0 0.265832 \n",
" -160.0 0.265838 \n",
" -150.0 0.256837 "
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hourly_Ssh = pd.read_csv( os.path.join( DATA_PATH, 'Ssh_hourly_june_tilt_aspect.csv' ), index_col = [0, 1] )\n",
"hourly_Ssh.head()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"FLAT = -10\n",
"ASP_ROUND = 10"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
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"\n",
" this.imageObj.onload = function() {\n",
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" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
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\" width=\"1280\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"fig = plt.figure(figsize = (12.8, 3.5))\n",
"i = 1\n",
"axes = []\n",
"\n",
"for label in ['08h', '11h', '16h', '19h']:\n",
" plot_var = hourly_Ssh[ label ]\n",
" plot_array = plot_var.to_xarray()\n",
"\n",
" plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"\n",
" # prepare data\n",
" data = plot_array.values\n",
" theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
" tilts = plot_array.tilt_round\n",
"\n",
" X, Y = np.meshgrid( theta, tilts )\n",
"\n",
" # SET PROPERTIES\n",
" VMIN = 0.5\n",
" VMAX = 1\n",
"\n",
" ax = plt.subplot(1,4,i,projection='polar')\n",
" ax.set_theta_zero_location('S')\n",
" ax.set_theta_direction(-1)\n",
" \n",
" ax.set_rlabel_position(210) # get radial labels away from plotted line\n",
" ax.set_xticklabels( [] )\n",
"\n",
" im = plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX, cmap = cm_PV)\n",
" ax.text(rad(125), 100, label, fontsize = 18)\n",
" \n",
" i += 1\n",
" axes.append(ax)\n",
"\n",
"plt.tight_layout()\n",
"for ax in axes:\n",
" # FORMATTING\n",
" xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
" yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
" ax.set_rticks( [0, 20, 40, 60] )\n",
" ax.set_yticklabels( yticks ) # \n",
" \n",
"plt.subplots_adjust(right=0.9, left = 0.05)\n",
"cbar_ax = fig.add_axes([0.92, 0.15, 0.01, 0.7])\n",
"cb = plt.colorbar(im, cax=cbar_ax ) # , fontsize = 12\n",
"cb.set_label('Average $(1-S_{sh})$')\n",
"\n",
"# \n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH, 'Shade_hourly_slope_azimuth_row2.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Hourly bias / uncertainty of $S_{sh}$"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"Ssh = pd.read_csv( os.path.join( DATA_PATH, 'Ssh_sigma_zenith.csv' ), index_col = 0 )"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>$\\sigma_{Ssh}$</th>\n",
" <th>MBE($S_{sh}$)</th>\n",
" <th>Solar zenith</th>\n",
" </tr>\n",
" <tr>\n",
" <th>hour_idx</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>0.338897</td>\n",
" <td>0.020530</td>\n",
" <td>83.933724</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>0.330436</td>\n",
" <td>0.049515</td>\n",
" <td>76.883989</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>0.324535</td>\n",
" <td>0.053022</td>\n",
" <td>71.591562</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>0.305991</td>\n",
" <td>0.048537</td>\n",
" <td>68.559347</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>0.303044</td>\n",
" <td>0.042453</td>\n",
" <td>68.120099</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" $\\sigma_{Ssh}$ MBE($S_{sh}$) Solar zenith\n",
"hour_idx \n",
"8 0.338897 0.020530 83.933724\n",
"9 0.330436 0.049515 76.883989\n",
"10 0.324535 0.053022 71.591562\n",
"11 0.305991 0.048537 68.559347\n",
"12 0.303044 0.042453 68.120099"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Ssh.head()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"1280\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plt.figure(figsize = (12.8, 3.5))\n",
"ax = plt.subplot()\n",
"\n",
"# Ssh['mean'].plot()\n",
"Ssh['$\\sigma_{Ssh}$'].plot(ax = ax, marker = 'x', markersize = 3, c = 'C0', label = '$\\sigma_{Ssh}$')\n",
"ax.plot([0, 287], [-1, -1], marker = 'x', markersize = 3, c = 'C1', label = 'Solar zenith' ) # dummy for legend\n",
"# bias_arr.plot(marker = 'x', markersize = 3, c = 'orange', label = 'bias$_{Ssh}$')\n",
"\n",
"ax.set_xticks(list(range(12, 24*12, 24)))\n",
"ax.set_xticklabels(calendar.month_abbr[1:])\n",
"ax.set_ylabel('$\\sigma_{Ssh}$ (fraction of roof surface)')\n",
"ax.set_xlabel('')\n",
"ax.set_xlim((0, 12*24))\n",
"ax.set_ylim((0, 0.4))\n",
"ax.yaxis.grid(linestyle = '--')\n",
"ax.legend()\n",
"\n",
"ax2 = ax.twinx()\n",
"ax.set_zorder(10)\n",
"ax.patch.set_visible(False)\n",
"\n",
"Ssh['Solar zenith'].plot(ax = ax2, marker = 'x', markersize = 3, c = 'orange')\n",
"ax2.set_ylabel('Solar zenith angle (degrees)')\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'Ssh_sigma_zenith2.pdf'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Tilted radiation"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"tilted_rad = pd.read_csv( os.path.join( DATA_PATH, 'Gt_tilt_aspect.csv' ), index_col = [0, 1] )"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>sigma_Gt_annual</th>\n",
" <th>yearly_kWh_m2</th>\n",
" <th>unc_perc</th>\n",
" </tr>\n",
" <tr>\n",
" <th>tilt_round</th>\n",
" <th>aspect_round</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>-10.0</th>\n",
" <th>0.0</th>\n",
" <td>302235.101000</td>\n",
" <td>1110.851939</td>\n",
" <td>0.251900</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">0.0</th>\n",
" <th>-180.0</th>\n",
" <td>218505.658874</td>\n",
" <td>962.925624</td>\n",
" <td>0.228625</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-170.0</th>\n",
" <td>217168.180808</td>\n",
" <td>960.811560</td>\n",
" <td>0.227713</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-160.0</th>\n",
" <td>218304.732687</td>\n",
" <td>962.102682</td>\n",
" <td>0.228722</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-150.0</th>\n",
" <td>218104.801508</td>\n",
" <td>963.960511</td>\n",
" <td>0.228174</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" sigma_Gt_annual yearly_kWh_m2 unc_perc\n",
"tilt_round aspect_round \n",
"-10.0 0.0 302235.101000 1110.851939 0.251900\n",
" 0.0 -180.0 218505.658874 962.925624 0.228625\n",
" -170.0 217168.180808 960.811560 0.227713\n",
" -160.0 218304.732687 962.102682 0.228722\n",
" -150.0 218104.801508 963.960511 0.228174"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tilted_rad.head()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"FLAT = -10\n",
"ASP_ROUND = 10"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Annual tilted radiation per tilt and aspect"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plot_var = tilted_rad['yearly_kWh_m2']\n",
"plot_array = plot_var.to_xarray()\n",
"\n",
"plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"# prepare data\n",
"data = plot_array.values\n",
"theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
"tilts = plot_array.tilt_round\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Annual tilted irradiation $G_t$ ($kWh/m^2$)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_xticklabels( xticks )\n",
"ax.set_rticks( np.asarray(ax.get_yticks())-2 )\n",
"ax.set_yticklabels( yticks )\n",
"ax.text(60,85, 'Tilt angle')\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'annual_Gt.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Relative uncertainty of $G_t$ per tilt and aspect"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plot_var = tilted_rad['unc_perc']\n",
"plot_array = plot_var.to_xarray()\n",
"\n",
"plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"# prepare data\n",
"data = plot_array.values\n",
"theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
"tilts = plot_array.tilt_round\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Relative uncertainty ($\\sigma_{Gt}/G_t$)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_xticklabels( xticks )\n",
"ax.set_rticks( np.asarray(ax.get_yticks())-2 )\n",
"ax.set_yticklabels( yticks )\n",
"ax.text(60,85, 'Tilt angle')\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'relative_unc_Gt.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Hourly tilted radiation per roof aspect category"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"tilted_rad_hourly = pd.read_csv( os.path.join( DATA_PATH, 'Gt_aspects_hourly.csv' ), index_col = 0 )"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>flat</th>\n",
" <th>south</th>\n",
" <th>east</th>\n",
" <th>west</th>\n",
" <th>north</th>\n",
" </tr>\n",
" <tr>\n",
" <th>dt_index</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" flat south east west north\n",
"dt_index \n",
"0 0.0 0.0 0.0 0.0 0.0\n",
"1 0.0 0.0 0.0 0.0 0.0\n",
"2 0.0 0.0 0.0 0.0 0.0\n",
"3 0.0 0.0 0.0 0.0 0.0\n",
"4 0.0 0.0 0.0 0.0 0.0"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tilted_rad_hourly.head()"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
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" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
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" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
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"\n",
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"\n",
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" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
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"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
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" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
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"\n",
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"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
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\" width=\"1280\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"#matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plt.figure(figsize = (12.8, 3.3))\n",
"ax = plt.subplot()\n",
"\n",
"#plt.plot(tilted_rad_hourly['flat'], label = 'Flat')\n",
"plt.plot(tilted_rad_hourly['north'], label = 'North')\n",
"plt.plot(tilted_rad_hourly['east'] , label = 'East')\n",
"plt.plot(tilted_rad_hourly['west'] , label = 'West')\n",
"plt.plot(tilted_rad_hourly['south'], label = 'South')\n",
"\n",
"ax.set_xticks(list(range(12, 24*12, 24)))\n",
"ax.set_xticklabels(calendar.month_abbr[1:])\n",
"ax.set_ylabel('Tilted radiation ($W/m^2$)')\n",
"\n",
"plt.xlim((0, 12*24))\n",
"\n",
"ax = plt.gca()\n",
"ax.set_axisbelow(True)\n",
"ax.yaxis.grid(linestyle = '--')\n",
"\n",
"plt.legend()\n",
"plt.show()\n",
"plt.tight_layout()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'Irrad_hourly_aspects.pdf'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# PV potential - roof surfaces"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### $E_{PV}$ per roof tilt and aspect angle (excl. roofs with avail area < 8m2)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>yearly_std_PV</th>\n",
" <th>yearly_PV_kWh</th>\n",
" <th>unc_perc</th>\n",
" <th>PV_norm</th>\n",
" <th>PV_std_norm</th>\n",
" <th>available_area</th>\n",
" <th>PV_per_avail_area</th>\n",
" </tr>\n",
" <tr>\n",
" <th>tilt_round</th>\n",
" <th>aspect_round</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>-10.0</th>\n",
" <th>0.0</th>\n",
" <td>4696.250380</td>\n",
" <td>13657.682</td>\n",
" <td>0.436416</td>\n",
" <td>35.966623</td>\n",
" <td>14.325934</td>\n",
" <td>82.295901</td>\n",
" <td>159.718366</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">0.0</th>\n",
" <th>-180.0</th>\n",
" <td>4695.874883</td>\n",
" <td>13978.423</td>\n",
" <td>0.478448</td>\n",
" <td>63.727629</td>\n",
" <td>27.033760</td>\n",
" <td>98.898361</td>\n",
" <td>135.144231</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-170.0</th>\n",
" <td>5206.218189</td>\n",
" <td>16001.524</td>\n",
" <td>0.482605</td>\n",
" <td>63.152980</td>\n",
" <td>26.925810</td>\n",
" <td>112.859524</td>\n",
" <td>134.167518</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-160.0</th>\n",
" <td>4932.395604</td>\n",
" <td>15564.889</td>\n",
" <td>0.480896</td>\n",
" <td>63.180354</td>\n",
" <td>26.485198</td>\n",
" <td>110.978724</td>\n",
" <td>134.109970</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-150.0</th>\n",
" <td>4328.669981</td>\n",
" <td>13353.433</td>\n",
" <td>0.483180</td>\n",
" <td>62.839637</td>\n",
" <td>26.473160</td>\n",
" <td>94.382898</td>\n",
" <td>133.988030</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" yearly_std_PV yearly_PV_kWh unc_perc PV_norm \\\n",
"tilt_round aspect_round \n",
"-10.0 0.0 4696.250380 13657.682 0.436416 35.966623 \n",
" 0.0 -180.0 4695.874883 13978.423 0.478448 63.727629 \n",
" -170.0 5206.218189 16001.524 0.482605 63.152980 \n",
" -160.0 4932.395604 15564.889 0.480896 63.180354 \n",
" -150.0 4328.669981 13353.433 0.483180 62.839637 \n",
"\n",
" PV_std_norm available_area PV_per_avail_area \n",
"tilt_round aspect_round \n",
"-10.0 0.0 14.325934 82.295901 159.718366 \n",
" 0.0 -180.0 27.033760 98.898361 135.144231 \n",
" -170.0 26.925810 112.859524 134.167518 \n",
" -160.0 26.485198 110.978724 134.109970 \n",
" -150.0 26.473160 94.382898 133.988030 "
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"EPV_tilt_aspect = pd.read_csv( os.path.join( DATA_PATH, 'EPV_minArea_tilt_aspect.csv' ), index_col = [0, 1])\n",
"EPV_tilt_aspect.head()"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"FLAT = -10\n",
"ASP_ROUND = 10"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
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"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
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" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
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" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
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"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
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"\n",
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"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
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" canvas_div.resizable({\n",
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" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
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"\n",
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"\n",
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" rubberband.mouseup('button_release', mouse_event_fn);\n",
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" mouse_event_fn(event);\n",
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"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
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" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
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" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
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" return false;\n",
" });\n",
"\n",
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" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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5cqVxTZqvXr1ULNmTXh5edlmHAatvvDCC9i1axe2bNmCTp06ib/SHFWqVAnt27cXW76GhWBx06ZN4joCXyoEAjRGggHaAqY5P3DggDgPSOPm4pgKSAC4rRQBoOVW8Lj0DHQIYwC0x1XCAGiPs8J9YgXsSAGCvcuXL4sPful16tQp0O/zFS8PlyLl4V6ktIA8gj03/8Lmb5vaGQDmJn9qfIyAwsQHEUi6F4r0u9cRE34ZyfGx4rwcwaD0Iigkq5o1C4F42bJlxZY2/dvF5Sl0b926FZ07d8bgwYMxZ86cLF0aNmwYZsyYIa7r2LGj7u90RnDIkCEC9suUKYOvvvpK1MPFcRXQAWBpBQAwlAHQHlcKA6A9zgr3iRWwoQLkZHHs2DHs27dPvMjSk5yaBv+SFQTseRYrD6/iFeEVVBpO/wcL2d3VGAAaGy9ZDZOj7iE+4goSIq4i/e41xIRfQXLcE9SoUQMtW7YUL9o6pbN0ahby5qVzfF988QUmTZqka2r58uV44403MGbMGEyePDlLF+haOgNI17322mtqdpHrtnMFJADcXlY+AL54gwHQHqebAdAeZ4X7xApYUQFyFpCAb9uuv3Di2BHhbOFbrjbcS9dAvjI14BlUSjnYMzY2BwDA7KAw5fF9xIZeQMKNM0gKPYfo26GoWLU6OrRrg1atWqFZs2aKAiF5SJOVjs7x0XlM+rdUGACt+GBpvCkJAHcQALrI2AJOy0B7BkC7XA0MgHY5LdwpVkBdBa5evYo//vgD6zf9gaNHjwgvWx3wla8Nz8CS5m/jyu2yrSBQxgF3S4ZMjicx18/oAWEYKlWrjq4dX0TXrl3RqFEj3ZatJfWT1+6LL74o4vTt3r07UxWWbgFb0g++R9sKMABqe/5M6T0DoCkq8TWsgMYVoPN6hw8fxubNm7Fm/UbcDA9FwUr14FG+Pnwr1bUN8BlqmkcA0HDYKVGPEHPjNBKuHseTi0fh7uqMbl27CBgkRw7yRDanvPrqq1izZg1WrFghvID1iyVOIOa0zdc6jgISAO4sL98C+MI13gK2x5XBAGiPs8J9YgUUUIACKO/cuVNA38bNW5CSngG/yg3hXaUR/Co8BxdPPccEK1vBjA4vLwKgQYy1jPQ0xIVdwJML/yDxylHEPriNtm1aCxgkD1wK4ZJTiYyMFKFcCBopbAsFb9YvpoSBIS9mihuo1fiHCjw6XMX/vb/J83tXBVfZW8DtrqZyGBg7XFUMgHY4KdwlVsBSBeg837Zt2/D7778L8PMqXBSelRrBr0pj+JSqYjwECzWWVwHQ1uPOJchu4oObiL5wGMlXjyHy2lk0btRQOHGQla9QoUJZlsm3336LTz75BB999BG+++47o8vI3EDQlq5Fvk/bCkgWwF0VFQDAKwyA9rgaGADtcVa4T6yAGQrQoX9KzUXQt3r1aqS4eiJfzdbIX6cNvIJKmVaTrUGIemkLC6Ctx21GloXUuGhEndmH+HN78STsIjp06CBgkCyDUuxB8jY+f/48zp49KzyPjRXDVHAUrobCvNAXB2Op4ExbQHyVoykgAeDuyvIBsO0lBkB7XB8MgPY4K9wnVsAEBS5evIhly5aJkB33IqPgX7Ml/Gq3gU/pauZv39kahBgATZjxZ5ckPbyFqNN7EHduL9JjItG9e3c899xzIr5fgwYNROienAplZaAwMZQrmDKCUKouyvZB1kHa9uPCCkgA+FcV+QDY5iIDoD2uKAZAe5wV7hMrkI0C8fHxoBRfP//8M06ePoNC1Z+HT63W8KtUX+TIlVVsDYF5zQJohvUvu3mlM30Ud/DJ6b8QfXYvCubzQr9+/cSrWLFispYD35y3FdABYFUFAPACA6A9riYGQHucFe4TK2CgwIULFwT0LV26FM5+Acj3XCcUrNsGLl7meYjmKCwDoHXXnQIAqN9hynf85PIxPDmxFY8uHkfnTh3xwQcfCE9iZ2dbT651peXW5CugA8DqrsgnIw5gbFoG2pxnAJQ/I8rXwACovKZcIyugiAKpqakiVh+l7Dp46B8Uqt0S/g06w6dUVfO3eE3pka0ZgS2ApsySSdckRd3Fo2PbEH3iTxQtXACDBg1C3759eXvXJPX4IlJAAsA9NeQDYOtzDID2uKoYAO1xVrhPeVoBOp81b948zPpuDuKSUwX0FWzQEW758quviy0hMC8BoMLWv+wWRnpqCh6fO4CYo5sRe/s63n2nj/ASrlChgvpriVvQtAISAO6tKR8AW51lALTHxcAAaI+zwn3Kkwrcv38fM2fNxg8//giv4LLwb/IK/Ks2UTcFm6HSDIDWWXtWAkD9wdBZwajDGxB5ei+6dH0J48aMFl6/XFgBYwroALCWAgB4hgHQHlcZA6A9zgr3KU8pEBoaiq+/mY5fflmEAhXroECL3iL/rk2KLQGQBmxtK6CtxmsDAJTWE20PRx5YgwfH/kSLFi0xfuwYkY+YCyugr4AEgPtqywfAlqfNA0BybtqwYYM4/nLp0iURRLpEiRJo2bIlRowYgbJly2aaLOrr+PHjsW7dOp1XO3nG0+/8/Px4YrNRgAGQlwYrYCMFyLFj0pSpWLt2DQrVaoYCzXrDu2g5G/Xm/83aCoikUTMAWm3+U1Oj8HDfekT+vRk1qlcXINixY0d1zpdabVTckFIKSAC4v658AGxx0jwA/OyzzzBr1iwEBwfjpZdeEhBHsSopsxFluaG4p9WrVxdDNYxrWbduXXHt9u3bOa5lLouBAVCpp4XrYQVMVODcuXMYN24ctv65DYUavIBCLV6FZ8DTkB0ZqSZWouZltoTAvACAMqx/j88dxIPDmxF/6yrSkxPh5ltQZHgp1ul9uOcP1K2KtMQ43Nm5RJz/S4mJgptvAeSv0RzBL/SBi6cPnLyeLaC0hFjc3b4M9/dvAKWiK1O6tDiD2rZtWzVXGddt5wroALCeAgD4r+kASHEpKYRRyZIlBcjpW/CkTDfk0LRo0SKhoNqZbf766y/s2bNHQCelSHz48CG8vb0REBAggq23aNECnTt3FrE0tVYYALU2Y9xfzSpAW70EfitXrUbhJp1RuFUvuPsXzjQeBkArT68tYNcCAKQtsZvrZuPh0S3wKFQUvhXrw8XTCynRkYi9cQalXx+jOzaQlpyAKz8ORcLta/CtUA/exSsg4fYNESLGq2h5VBz0HVz9nxEggWTIlHcBFxd45A9E3I3zyEhLxS+//CI8h7nkTQUkADxAAOjqZLEIsakZaG4GAB45cgSNGzcWWW4o0L1+uXr1KipWrIhOnTphy5YtMCW3NcHazZs3zbJsx8bG4vvvv8eCBQsQHh4u2qHi6emJggULIiEhQWxLUxYmKq6uriJfNzlYPf/88xZrZe0bGQCtrTi3l+cUePDgASZPnoy58+ahYO2WCHihDzwKZf9t0eYQaAsoklaFNS2AthqnBQB4/+/1iNj0AwKavITiLw3OktOZYgA6ubgIFW/vWIy7u5ciqGVvFOs0QPe8Sb8P7vA2inZ6R/f76AvHcX3BONScshqu3r5ITYzHhcl9kR73GO3atMFXX33FziJ57l3rWRiYg/XdZANgs+MpAphMOY8XGRmJokWLihelNPT19dWpT/mtP/74Y8ycOROffvoprly5gkqVKqF9+/Ziy9ewdOvWDZs2bRLXmer5TvFW6ewgOeXVqlVL5N0mIKVMO7T9LBWCQgJSyrpDW9PUDm1H05Y19a9MmTJ2v2oYAO1+iriDWlUgJiZGnGOhNwPPsjUR0L4vvIpmPrxsbGwMgFaacY0AYHpKEs5N7iW2bqsNX5qjVzh9KJ2f/CrSkuJRY9xauLjrWfpSknFuUk84e3igxqRVOotIdMgRXF84ATWnrIGrdz5h7bg8awi8S1aCm5sbHhzcjJ7dX8GkSZOyHL630kxxMzZQQLIAHmygAAAeMx0AaagzZszAsGHDxFYwWdYIAunozO7du4VV+ocffhBrc+vWrWL7lVIgksOIYaE6qC66js63mlKoXrI+0r3VqlUz5RZxDVkFV6xYIb4wvfXWW2K3x94LA6C9zxD3T3MKpKSkiDNUEydORFr+YAR0eA/5yprn1ZtnIdDRLYAWWP8ehxzCjcVjEdi8J4p2eA/RF48g6UGEyAJDW7yehZ+lfEt8cBMXvukDv4r1Ub7/tCzPzvXfxiL67CFUG7cUnoHFxd/TEuIQMukduHj5wL9GY8SHX0HMtbOoMuxHeJeoiORH9/Bg+294fHKPSDFHH2x0/omLYysgAeDfDeUDYNOjKWIbVt8C6OHhAXplVyjH+fvvvw/ajpVKkyZN8PXXX+u81ukagrUxY8aIXRbDQl9aaL3Sda+99ppJE3b9+nWUK2e5M15aWpo4K1iqVCmT2rPlRQyAtlSf23Y4Bfbt2ye+jUY8jkfhDu/Bv1pjs86eSILkVQD0rnDXqmsi/qqVD25bAIC3d/yKu7t/E1u6BINJD24+08jJGYHNuqN4l4HidwSH1xeNRsDz3VCi20dZtLy1/Wfc+2s1yg+cCv9qjXR/j4+4jptrvkf8zatwLxSMYl37IX+NxpnuT7gTigdbFyEl9DymTJkiPpxd/r/tbNVJ48asooAEgIcayQfA54+kZOkzOW/QVquxQjBHX6Dp72+//TYKFCiA06dPi23ff//9F6tXr8Yrr7wiwE5pADRVXPqS/+677wpLpFYLA6BWZ477bVcK3L59G59//jnWbdyEoBfeRkDzV+Dk4mpxHx0dAL3K3jeqjZOLNU2AxqdHVSi0AADDyfnjyB+AszO8i1VAiZeHwjOwFBJuXUXYullIuh8ufkfnAx+d+guhy6egSJs3UPTF9zINkDx/72z7Dbe3/ooy74xBwefaWLQ+oy8cw/31P6JccGH8+OOP4nwUF8dTQAeAjRUAwMOmWwDJ47ZNmzbCoYKO0OgXOk9NMQDJESMsLEyVLWBTZ5IcP+h9PzAwEGPHjhVWSHIS0VJhANTSbHFf7U4B2u4lb7EJEybAu3JDBHbqD/f8ymyPOQIEZgd62U2kPQBgdn1TBAwtAMCwtTMReXQrnNw8UG3Eb5k8xxPu/oeLs/rDo2ARVBu5zCoASPqkpyTjwZ41uL97Bd7o3Utsy9EHIRfHUUACwH+ayAfAJv+YfgZQigG4efNmdOnSJYugtA18+PBhEAw+evRIcScQU2ewePHiWLVqlfD6JUv4nTt3NPcMMACaOtt8HStgoABt9w4aNAi3ohMQ1G0wfCvUUVQjrQGgubBnTCx7BkDZYGgB/FGbEVt+xv39q0WYl4offpelGyHT3kLSw1uoOXEz4kLPG90CluL+RWwwvgVs6cJNenQX9zf+jOQbZ8UZrA8++IC3hS0V087ukwDwcFP5ANj4b9MBcMiQIcLJg8IQ0RarYSFv3mvXroH6R165BGL0b4of6OPjo7s8MTFReBJ7eXmJM3lOTpaHsjE2NVOnThUOH61atRKWyPnz56Np06YiTI3Sbam1NBgA1VKW63VYBSgQ6NChQ8V2b2C7t2Rv9+YklE0hMBsvWSVAT4sWQHMWtFFroYUA+PDoVoSvnQn/qo1Rru+ULN249N1AxEdcRo2xa4T3rzEnEAkAr83P6gRizriyu1Z/W3jhwoWgbAxctK2ADgCbKQCAB00HwJUrVwqHDfLAPXToEPz9/XVCLlmyBO+88w7q1auHEydOiN+rHQg6p1mk4NB//PEHpk2bJgJBE4QScFKWEgohQ6+aNWvabapFBkBtP6PceysrQLkm+w34AO4lqyDo5SFZAjkr3R2bAiAAr/LGz+opPU79+rRoBTRFj/hLljmckHWPrHwehYuJLWD9QgGbz054RQRurjXx6TlBwzAwEvzRtu3ZMT3h7OaOGpNXK26loPrv714pXiOGfS7ORbm7u5siDV9jhwpIAHikuXwAbHTAdAAkL1rKQkM7LORtTmFgyAmEsoLs2rVLeA5TOBiytlExTAVHcEjXbtu2zWqp4EqXLo1jx46JgNDUNsUvpJ/0unjxIuLj4+1whgEGQLucFu6UvUvcs4AAACAASURBVClAVj/amti0dRuKdBuMAnVbK/4Bmt2YrQ2B3pWeeeJmpFk/WJ4jAqCTS2bzX1zIs9Atpqz1qwuGI+bKCZTs8RkKN+yku+XOrt9wZ+evKFi3LUq/Nlr83jAQtASAt7cuxp1tS2EYCNqU9s25hjyK76yYjkBvN6xYtpStgeaIZ0fX6gCwpQIAuM90ACQJkpKSQEGf6YzdpUuXkJycjKCgIJF2bdSoUbo8wJJcFGSazmGvXbtWWOHIGtejRw9hHdS3INpCXgJae/WWZwC0xYrgNjWlwIYNG/Be/wFwLV4Fwd2Hws2voFX7bw0A1Ie+zBYmBkAlJtsQAPXrNAUGyQp4+cePkBobBb8qjeAZUEKkeou5dgruBYJQafCPunVpmArOp3RFxN+6jicXjsGreHlU+uQ7uHjoJQNWYoAGdZBF8t7O5cIaOGrEcOEhydZAFYRWsUoJAI+2kg+ADfeaB4AqDku1qtesWYM///xTwCvlCKYMInLiCarWUb2KGQCtoXIeaIPy3Eqpb6Q8jYbDJpM+HZil+GGUbofM/JRom85ykNlev9C3uODgYPGrjRs3ivQ6+oW+EebPn1+Y3MkTjH4qXSgl0fsDP8TWbduF1a9gvTZWs/oZjkUtCMwO/KT22QKozKrKCQBNhcHkx/dBMQGfXD6OtPgncPUtiPxVG6NIu7fhlq9Apo6mJcTizq6liDp/AKlPHsHVryAK1G6Ooh3fFgGkrVXiI64Ja2BQPg+s+G0p6tRR1lEqp3FY8p5E9dEZMzprllOhL4WUZsyRiw4AWysAgHscGwDpDCAFnaY1QVvUFy5cEPEK6YsPWSHttTAA2uvMaKxf+m+21PX9+/ejefPmmUZhCIDkRUUPyPTp00UMPf1CKXVef/11AVwfffQRvv3220x/P3jwoKif0vuQB5bShep87a0+8CxZBcGvDIWbfyGlmzCrPiUBMDfo0+8YA6BZ05TtxaYCoFSBKVZBU3ombf+acq1a16SnpuD+zuW4t3slxowehbFffGGVLTFL3pP0AfC9994THqbGSu/evVG5cmW1JLOLeiUAPNZGPgA2+MuxAZCyfsydOzdTurkjR46gV69e4iwsZdCxx8IAaI+zosE+SW+2dBg2PDwcDRo0ELGa9IshANLfKaaTMYgjKyFBYKNGjXDv3j1xmFa/SCl+jMGjHPnIsjhi5EjMnTcfwd2GoGD9djaz+hmOQw4EmgN9Wdq18jlARzsDaC78GepvKQzaA/xJY3H2TEZc+DXc+uUbVC1bGmtXrhAhOtQslrwn6QMgvT/R+09eLRIAHm8rHwDr73ZsAJRyFdPnn37ZsmULRowYgZCQELtcRgyAdjkt2uuU9Gbbvn17cQCXtlDIY5bS9UjFEABTU1OFd5ezs7PYxtU/KFupUiVxfkI69EtBPwsVemaFo0jxFDHe2Paxper9999/eLnnqwiLfIwS/UbCs0hxpMfajxejuQAoB/r0NbS2FZABMPsVbA4M2hsA0qjSEhNwe8VPSLx0EiuWLcOLL75o6eOa632WvCcxAD6TVQLAE+3ckc/N8hh6sSkZeG5XMshRQz8XcK4TqKEL2rVrhxdeeAHDhg3L1GtagxTOhjyV7bEwANrjrGiwT/pvthQQk4Jh0rch+uYjgZ0hANIwO3TogO3bt+Po0aPCakiFIqqTdYCyCxAAUqopfZiUzv/RWQs6p0cAKbdQ/X36vgu/+i1QtGd/ESpDKlqDQKXATxo/A6C81SXXAphd6znBoD3Cn/44Hh7ahVsr5+KTj4aIs1Nq5FO19D1JOgPIFsAnwoP2xAsKAOBOxwZAOu9H59spDzy96PMrIyMD48aNE3ECKY+xPRYGQHucFQ32Sf/NloBOSudDCbMHDBggRmQMAL/55hthIqdDtMOHDxfXSQm+6QwFOYeQswdFhKeUa1QOHDggwJDiQ23atEmWWhQtns4fLly8FMXfHoqC9Z7GltIvWgBApaFPf/wMgLKWGNQCQKlXxkDQXgCQtn6zKwm3wxHxyzRUKRoojnvQOSoli6XvSRIA5nQGcOTIkZrL+2qutpIF8N/28gGw3g7HBkDSlowYdHSJYgDSZxYZKsjzff369WjZsqW58lvlegZAq8js+I0YvtnSli4l7abUPFevXoW3t7dRADx+/Liw/NFWEAXupELASB8IUVFRwruXTOtkFTx37pz4+8SJE4Vn1ezZs/Hxxx9bLC71i1z1w2OTUPy9EfAIyD5Qrz1CoJrQZyiqNSHQkbaA1YY/w3mSYNAeADAn+JP6nZ6chNtr5iPm5CH8tvhXRT1rLX1PMsULmN6b6EPekYsEgCc7yAfAutscHwCltUC7XvSiNHW0e0XHnOy1MADa68xorF+Gb7bUfcqTOHr0aEyZMkX8NGYBpCCZdLaPfkrAR9vHBI9kSaRC95MnFTmDUGT41q1bY+/evcIxhNLsWFIINindkE+jtgh++R04u7rlWo29QKBXuWeBmnPttEIXMABaJqS1AZB66eyegthLmQ+jW9Z7eXeZAoBSC4+OH0DEsu8x4rNPxZc7JY51WPqexFvAT2dFB4AdFQDAPx0fAA3jAPbs2RPly5eX9xCpfDcDoMoC55Xqjb3ZJiQkiAeADsBev35dWPD04wBK2tBWLp2ToDM3JUuWRLFixUAhYijiO5W///5b5FKkB6xLly7imzdZFskxxNyk23QuY9asWRg9dhyKvzkEhRq2MmuKbAmB+aqFi76mJVrfMcWaAEhjdBQroLUBkOBPv9gKBM2BP6m/CbdCETZ3Eto2boClS5cKC4qcYul7EgOgAQB2coevDCeQmJQM1N3q2ADIcQDlPKl8r+YVMPZmS4NasGCB2NL99NNPBbwZA0DayqW/E/QRAL755pugJNtkPqciOX307dtXbNnSeYru3buLtD/mFDrvR2c01m3djlIDvwBlSDC32AIAJfDT76ujQ6AjAKA58HfsnU+QdP+h0eVYpENrVBjSN9PfUuMTEL5sPR4eOo7kqGi4F/BH4efro3TfLnD1yZrl4+F+F4Sv/h5xYRfhGVAcxboNgF+luuYuf5OutwT+pIpTY5/g5oKvEeycgs2bNwtHMkuLpe9JDICZAfBUF/kAWOcPxwZAjgNo6VPK9zmEAtm92dLWbvXq1UEhVsg7uE+fPrpMINLAyUOKMgTQWT8CQOn8n75nIIV9oewgBIDjx4/HDz/8gEGDBpms3e3bt0VImquPYlDi/TFwz295YGdrQqAx+MsLVsC8CICpcfEo9lL7LGs6X4UyKNTwWQaNtMREnPl8MuJuhCF/nerIV7404m6EI+rfs8hXriRqfzsKLl4eunrSEpNwot9YOLm5wq9ic8SFX0HcfyGoMvxneBUtY/IzZOqFcgCQ2khPTcWdtQuRfPpv8SWPHL4sKZa+JzEAGgBgVwUAcLNjAyDHAbTkCeV7HEaB7N5saYCUNongi+L60VawlApOGjxtyxYuXFjkUAwMDBTbxjt37sykjeT4QTGVpEO2VatWNUk/cjShFD3pZauj2BuDM4V4MakCIxepDYHZgZ8trYDW3AbOiwBIc9tg8excl2TYsnUIX74RxXt0Qpl3e+uuD1+xBmG/bUapt7qidJ9nacoeHT+PkPE/oNHKmXDz9UHMxVK4PHMwfCvWQbGuymYokAt/+oN/cGAbbq+ej++/nS3eM8wtlr4nMQBmBsDTXT1kbwHX3pzEcQDNXcBWuJ7PAFpB5LzQRE5vtjR+yvghZQYxBED6OwEigSKVyZMnixRx+oVSy0mu9EFBQcIaaEoha2L//v1RuNMbCGj3stlnBrNrQy0ANAX8pD5ZexuYAdCUFffsGnO3gE0BQPqydOztoUiLT0DD3+fAxdNTNEhn/9KTU3C416dw9nBHoxUzdGs98uhZXJj4ExqvmgXXfN4iPtnpoVPhVaw+ir/0NESTEkVJ+JP6E3PlPMLmTUbfN17Hd999Z1bOb0vfk0wJA0PvRfYa2kOJuaQ6JCeQM93kA2CtjdoAwPT0dJHHt2DBglky1aSkpIjPMMMUp6QVxwFUatVxPZpUILc3Wyl3Lw3OGADOmTNH5PylQk4fzz//fCYdyDpIzh90jo/yK65cuTJXnSRnj5L9RyJ/jfq5Xm/uBUpCoDngp99PR4VArVsAzYE/mk86A5iekoIyfXshKTJKgJpflQrIVzZzbLz4iDv4d8BwFKhXA9UnPY2bKQEg/Tw/bg4i/zmF+ou/gnfxIPG31LgEHH93NFx9vFGwUS3EXg1D9NkrqPPDF/CtUEoxj2E1AJD6nxR5D2E/jEfLujXF8RAvr6xnHI09u5a+J5kSBoY8lekoiiMXHQC+7CnbAlhrQ6LdWwDDwsJEWtKLFy+KL0+dOnXCr7/+qstARVEoKMAzHWsyVqQ4gOTsSAG0OQ6gIz8dPDa7VYC+xVGg1h8XLETpwRMscvYwdXBKQKCl8Ed9ZAA0daase50lAGjMCaRAvZqo9PkHcPP3FQN4dOw0QsbPRHCXdig/8O0sAHh93mpErNmO6lM+RqGGz0IkxV4Px7UfliPmahi8ihRGmX7dUahR7UyiyPEYVgv+pA6mxsUg/KeJqBLgL5xD7Dm2mnVXmnqtSQB49hX5AFhzvf0DIBkWHj9+jF9++UX8pGQGBIWUcpTAjwAwODgY9PmiX+j/FPyZzrpT3FqOA6jemuSaWYEcFSAzfb9+/bBhx26U/mgSPIOKqaqYHACUA376g7ImBFprG7halTWqzduFK91Vq1uq2FwADFu+Af41KsOnZHHhrBEffgvhyzcg6sRZ+FYpj1ozxgmrxP29/+Dy9Lko0YvO+fUUzemHfglbthmhizeiyugBCGzdyOxxWgKBasOfNIi0pETc/GUagpJjRIxQChfFRT0FJAA818NLtgWwxtoEu7cAUg77HTt2oFatWkJUOipBESwIACnuLKUezc4CSH8jyx/FsNVS4TOAWpot7muOClC8QQq+efjiVZQaPEGWp685UpsLgUqBn+6D0YpxAZUGwEqV/jAqtatzojlTYNa1Tk7Gt3BCLr9qVj05XWwuABqrK4MsCyOm4EnIFVQb/xkKNqitOgBK/TAVBK0Ff1K/MtLSEPH7HOD6eezdvQuVK1dWbM64oswK6ACwpwIAuMb+AdDPzw/Hjh3LsqYGDhwoslRRilKKR2tsC5iyWdGRo6ZNs6YSted1xQBoz7PDfTNZgcjISHFm41pMEkp+MBau3j4m36vEhaZCoNLwpxUIzA70stPeFgCYXV/MBUMl4E/qy92d+3H124Uo8WoXlH7n1SxbwIaBn7PbArZ0jecGgtYGQMkyc3fTUjw5tB07t21Dw4YNLR0e35eDAjoAfFUBAFxt/wBYv359DB06VMShNSwffvihOHceHR1tFAApJ/306dOxceNGEdFCK4UBUCszxf3MVoHw8HC0atsOsfmLoMS7nysS5sUSuXOCQLXAzx4B0FzYM6a1PQGgsf7lBIVKAmDkkZO4MHE2ir7UHuXefxOGTiCGAGjMCcSStax/T3YQaAv40+/X/T2bcG/jUqxfuwYdOnSQO0y+30ABCQDP9/KGr7uTxfrEJGeg+qp4u98CptSl5Kz4559/Gh0rWQLnzZuX5QwgXUypC11cXITzB+1Ckadw7dq1hTXR3GxVFgttwY0MgBaIxrfYjwLk6fd88xbIKFcDxV7/EE7OLjbrnDEAVBv89AdrrbOA0jawEqCX3WTZOwBm128CQyUBMHTJGtxctRllB7yBYt1eFOeSpDAwjVfPzhTwWRcGxt1NxPxT+oNHHwRtDX+S/pHH9iFi6XdYs2olKKUkF+UUkAAwpLd8AKy20v4BUI5yly9fFo4glJ9e+nnz5k3hsU7OIeQhbI+FAdAeZ4X7ZJICFFS6aYuWcK7yHIr2el/xDzyTOmFwkQSB1gQ/qQvWAMCqFdchNf1p7Dm1i1oQmN0ZQKXG4+H89IzhqSumnSmMC78Fj4L54Zov87GF6JDLOD9mGjIygOcWfAPPwKdbS1Ig6BK9OqBs/6eOIFRCl2w0GghaqXFJ9RAI2gsAUp+iTh5C+KIZWPH7MhFPlIsyCkgAeOF1H9kWwKrL4+zeAqiMas9qoe1iynJFziGDBw9WunpF6mMAVERGrsTaCly9elXAn2uNRijas79dwJ+kgXcp04JUq6GZGhBI0GdYrAGBWgRACf4M9coJBsOWrUfEuq3IX6sqPIIC4ExewGERiDp5HnByQoXBfVHkxZa6KikV3Nlhk0ChXQrUq4Z8FUoh7sZNPDp2zmgqOKXXmbtXLB5ftC9vx8enjyBs4TQsW7pEbMFxka+ADgDfUAAAf897ACh/BtSvgQFQfY25BYUVuHbtGuo3aQrPus1QvMd7dgV/haqFICHW8jzDcqVSCgCNQZ9+3xgAjc9UdgCof7UhDD4+dxF3tvyF2OuhSImKFgGh3fL7w79aRbHt61upXJbG0pOjEfrbZjw8cALJUdFwL+CPws2fQ+m3uoog0moVgj/9Yk8g+OTCYVz/6Rus+G0pevTooZYEeaZeCQAvvplPtgWwyrJYTVsA9+3bh127diE2NhYlSpQQoWLq1q2rCxKt1UXBAKjVmcuj/b5x4wYaN20G97oNUaTbALuBPwI//WIrCJQLgLmBnzRGrQKgtbZ/TX08Td0m1q/P0PHD1LaUuM4QAKlOe4BAZ7dUMbyo08cROvcbrFz+O15++WUlhpxn65AA8NLb8gGw8lLtAiBlqfr444/F+VupSOdrKRZlnTp1BAzST62dQ2UAzLOPt/YGTg4fBH8uNeqi2OtPLX/pSe42H4gh/Ekd0goEmgp9hkKrDYFqbAGrCYCmWP+yW6zmgKCtANAY/EnjsSUESvAn9SXq5FGEzpvBjiEy3xl1ANjHV7YFsPKSGM1aAMuUKYNHjx7hp59+Qo0aNRARESGcPU6dOiVeZJQgOKTPo+zSxMmcCtVuZwBUTVquWEkF7t69i/qNGiO9UnUUfzPzmT9bQmB28Edjt2cAtBT69OeUATDzCpcDgPo15QSD9gh/toRAQ/iT+vLoxD8IWzAbW//YjLZt2yr5VpRn6pIA8PI78gGw0mLtAqCvry8oPzRZAo2VmJgYAYLk8CHls9fKImEA1MpM5eF+kjdVo6bN8LhAIEr2GwInZ+csatgCAnOCP3u0AioBfQyA2T+ISgFgTjBoCwDMyfJnqIY1LYHZwZ/UpweH9uDO7/NxcP8+1KtXLw+/g1o2dAkAr7zrJ9sCWHHRE81aABs3biwsf/Pnz7dMSDu+iwHQjieHuwYkJiaKIK8h0XEo/dEoOLu6ZiuLNSHQFPizJQTqnwVUGvykcbEFUB0LYHYLnCyD9g6A1rIG5gZ/Uj/ubt+A6J0bcezwYVSoUIHfUs1QQAeA7ykAgL9oFwBXrFiBzz//HBcuXBCBnh2pMAA60mw62FjoPEXv3r2x58x5lB0+ES6eucefUxsCzQE//emwxXZwpZLG8+wquUzUhEAtnQFUw/pnOE8+zk+zMfxzo5uSU5hjXeZY/6xlDTQV/qT+3Fr1K9wunsShQ4cQHBxsNe203pAEgFcVAMAKGgZAmkfKAnLp0iWsWrUKgYGBWp9aXf8ZAB1mKh1rIHSoloJn/r55C8qNngo3Xz+TB6gWBFoKf9RxawJg3TJP4/bFpanvIMMA+HRZWhMArQWBcuBPLUugufBH/chIT0f4L98hKOYh9u/f73BWHJPfGM28UAeA/f1lbwFXWBCt2S1gkm3u3LkYOXKkUJA8fdu0aSM8f6tVqyZSwGm1MABqdeYcvN+TJk3CN9/PQfkxX8GjsPnfuJSGQDnwJ02V2hAogZ/+0lAbAhkArQOAkvXP8LFX0xqoBABSf5U6F2gJ/El6paemIvSHKajm74Nt27bB04TdBAd/i811eBIAXhsgHwDLz9cuAI4aNQrffPNNpjAwJB55/Xp4eIhUbwSDdM60f//+uepqTxcwANrTbHBfhAJ02Hbo58NQYdQUeJcoZbEqSkGgEvCnJgQaAz+pPS0DII1B6W1gtcLAmGsB/Hf+NRz65qKYpp5rmiK4ToEs6zwpJgVHv7+C6zvuIP5hEnwKe6DSi8FoNrQSPHzdMl1PIBgfcRdXv1+GmEs34FU8CGX79USBulUten6Ugj+pcbkQKAf+pD6kJSXixoyxaFm9ClavXq1py41Fk2rmTToAfD+/bAtg+XmPNWsBpGMDtCO1du1a1KxZE2FhYcLr9+TJkzrvX/IE5jAwZi4wvpwVMFRg586d6PJSN5T//Ev4VrLsw0u/TrkQqCT8Ub+UtgLmBH+OAIFaAEBz4e/RtRis6HoAzq5OSIlPMwqAKfGpWNPrEB5efILSTQNQpJo/7l96ghv77yOoqh/eXN0U7t7PHKJSElKxoP0+JDv5oVCj2oi5EoonF66h3k/j4FOmuFlvNErDn37jloCgEvAn9SEl9gmufzUS/Xu/iunTp5ulS167WALA6x/kh6/H0/OnlpSYpAyU+1m7AOjn5ycsezNnzsx2+JSalKDw1VdNy/9tiY5q3MMWQDVU5TotUuDKlSto2LAhCvbqi4CmrSyqw9hNlkKg0vAn9U0JCDQF/BgAs64GNSyA5gBgeloG1vT8G3AC8pf2weVNt4wC4JFvL+PYD1dQb0A5vDCymm4gB2ZfwqE5V/D8kIpo/kll3e9vHLiPdR8cx+DD7XAq8lVhsTg1ZAry16mCsu91N+tZUhMAqSPmQKCS8Kd7/u7ewpVJn2Pejz/g7bffNkubvHSxBIA3BhaQDYBl50Zp1gLYqlUrlCxZEkuWLHG46WcAdLgp1eaAKNYfwV9chWoo1usdxQdhDgSqBX76g7IUAs0BP/321NwK1so5QDXgjzQ2BwCP/3QVR+dcwWubmuPkwmu4uD4iCwASvC1quhvJsSn46Gj7TJa+1KQ0zGm0E25eLhh0qJ0uFeK1vfewYdAJDDnyAjz93AQA/tTlAvxrVETZ/j1Nfp7Uhj+pI6ZAoBrwp2v/3Enc/Olr7NmzR7zvcMmqgA4AP1QAAH/SLgBu374dr7/+Os6fP4+iRYs61FJhAHSo6dTmYCjcS5cuXXDi7kOU+Xg0nJzV8aoyBQKtAX80S+YCoKXgZw0rIANgmkkPXuSVJ1jx0kE0GFQBDQZXxK7hp4wCYNR/sfit3V6UbBaAN5Y0zlL32veP4equu3j/r9YoWCaf+DudF5zfbo84G1i+TRDunovGzeOR6LO+GW54m/aFylrwZwoEqgl/Uvv3dmxC0t4tOH78OCinK5fMCkgA+N9gAsCswfdN1SsmKR1lftAuAFIKODqadP36daxZswaVKz+zvJuqgb1exwBorzOTh/o1fPhwzF+xCuXHToOrt4+qI88JAq0Ff9IATYVAufCnZQhU8gygGhZAU61/6anpWN3jb9AWcK/1zeDi5pwtAP639x7+6H8M9d4ugxfG18jyPOz5KgRHF1xHz18aonyrIN3f712Mxq7x53A3JBr5i3ujxbAqqNCmiO7vOXkMWxv+coJAa8AftU9W0pu/zkHx+CgRHsbLy0vV9x6tVa4DwCEF4CcDAJ8QAM7RLgA6OzsLSzutFwr50rRpUxEGpk6dOuKlZasgA6DWnkoH6+9vv/2GAR8OQsVx38Ar2Drfwo1BoLXhzxQIVAr8GACfKmBLAKRt3+M/XsGra5sisHp+0Z/sLICXN0dgx6en0GRQBbT4rEqWJ/7vOZdxcPZldP22Lqp1Nc/BIzsItBUAGoKgteBPajc9JQXXp3+BDs/VBr0X0Qc9l6cKSAAYOrSgbAAs/d0jzZ4BJKvfmTNnRK5fcvS4c+fO/99Pnq6VgIAAAYIUCmbKlCmaWj4MgJqaLsfq7NGjR9G8VSuUGTIS+WvUserg9CHQVvCXHQQqDX5aBsBuBeIVWxdbn2QoVpdUkSkWwAcXo7HqlYOo8245PD/sGdDZAgClfuuDoK3hTx8CrQ2A1Hby4yhcnfQZxg77DLQbwcUAAD9WAAC/1S4AGq6Hhw8fChCkF0EhvciBkSyEdJxJS4UBUEuz5UB9pYeIvjW5NH8BRTpYL7WVvoQFyl+1C0WlrWC1wE9/kPbqDNI+f5zRufBS0CLjmo1xZ1O0ZWBoCvzRoJZ32Y+05HS8trk5XD2enW/NDgAt3QK2ZDETCNoDAPp43BfdvxPSyJJhyL4nLvQarnw9Ctu2bEHr1q1l1+cIFUgWwLBPCsm2AJaaHakpC+Cvv/6Kzp07C+ueKSUhIQFnz57VnEMRA6Aps8vXKKoAfVMSTh8PolBq8AibbbuUrrEH0QklFB2bpZVVCdhn6a1m3WcPAJgd7BkbiDUAMDsBcwNDUwHw+/Km5WTuNPc5lGsXjMTQOMxvuwdlmgeg92LTnEDMWgR6FxdyccKOiDaW3q7IfRL8SZXZCgLv792O6D9X4+K5cw6V79XSSdIB4GcKAOBMbQEgnfuj836NGjVCt27dRPq3ChUqWCql3d7HAGi3U+O4HZs1axbGfzMdFSfMgqvPUy9GaxeCP6nYGgKfD94vuvIo1TJLlLnaqQWBht7A5oBedmOwJQAa65M+FJoKgLtHnTE6vNvHI/E4NA5l2gTBq6AHar1VGgFV/eHtBPzQZJcIAzMkmzAwrp4uGPzPszAw5q4Bup7gTyq2gkBD+KP+2AoA6Ytp+LwZqOnrIdLFEQTk5SIBYPjnhWVbAEvOeKgpC+CRI0ewadMmbN68GRcvXhRGiooVK+Lll18WMEhg6AiFAdARZlFDYzh27BiatWiJ8iMmwLe8bdzp9eHP1hAowZ8jAGAbP3XOvygFgdltAVv6+Pg4OWHdkxRLbzfqBCLl/JUCPjcaUB6tRj7LiJNdIGhzO6EPf/r3WhMEjcGf1BdbQWBqQjyuTvgEoz4ajJEjR5orq0NdrwPAYQoA4HRtAaD+RFL4lw0bNggY/Oeff8RZv8DAQAGCL730kvAIppzAWiwMgFqckELyewAAIABJREFUNY32+fHjx6heqzZcn2+NIh1ftskojMGfLSBQH/z0hdCaFbCzf3qmeUzIUN6KaY8ASPBnWMyFQWNnACUATI5PxbJX/8a9C09TwQVX98e9i9mngjP3YcoOAKkea0BgTvBnawiM++/pecA9u3fh+eefN1dah7leAsCbIwJkWwBLTHugKQtgdpMYGRkpQJCsg7t37wad/fP29sYLL7wgtoo7deqEggULamYNMABqZqq03VH61tStew8cDr2JMh+PgZMNtldygj9rQmB28Cf1wRoQKGcb2BD69FdmXgZAfR1MgcGcAJDqSnySgr+/v4zL2+4g9mEi8hX2RKUOwWj6USWR7cPSkhP8SXWqCYGmwJ+tIfDezk1I2PsnQs6eQaFChSyVWtP3SQAYMVI+ABb/2jEAUH9CExMTRYBogsGtW7fi/v374twgfWnYt886Z7rlLjAGQLkK8v0mKTB37lwMG/slKk2cBTc/f5PuUfIiU+DPGhCYG/xRH6wBgNSOuRCYE/hJ2jEAZl21psAg3SVZ/5Rc94Z1mQJ/akKgOfBnSwikL6yhP0xFncCC2LblD5s5qqm5FnKrmwEwN4We/Z3Wy+HDh7Fx40ZhIbx06ZLpN9vwSgZAG4qfV5oOCQlBvfr1UfaTsfCrUt0mwzYHAKmDajiGmAJ/kjjWgEBTANAU6NOfUHsFQDXO/5m7kHMDQbUB0Bz4UwMCLYE/W0JgamwMLo//GFPHjsGQIUPMnW7NXy8B4K1RgfDztNwh5kliOop9dd8htoA1P6kGA2AAdLQZtbPxpKamom7DBnhYtCxK9upjk96ZC39qWALNgT9bQ6C50Gc4qUpDoBJnAJUEQGPn/8xd2IYwqDb8Uf8sAUClQFAO/NkKAt0KRePx2RBcnjRbhIYpV66cudOs6eslALw9Wj4AFp3KAGiPi4EB0B5nxYH6NHXqVMxYOA/VvhuHlOhAq4/MUvhTCgItAT99kdS2BEpWQLnQp6YV0BEBUF8vgkG1AVAO/MmFQCXgj/pgTc9ggj+phP68BMUfx+HQ/gN5KjSMDgDHBMm2ABadck+zFkBKWkAW4F27diEpKQlly5ZF7dq1RSID+kmv/PmfpnfUWmEA1NqMaai/58+fF1u/VaeNgF+lp9+ekx5Y70GRC39yIVAu/FH7agNgZz83xKUr67nLFkDzHlI/p6fba6tjks270cSrlYA/SyFQKfiT2lcbAvXBT2ozLSERIUPHYNKIUfjoo49MVF37l0kAeGesfAAMnqRdAHzttdewatUqFC1aFKVKlQKFhSGHDypS7mj6PQHhunXrNDXxDICami7tdDYlJUVs/cZULIFSfXtm6bjaIKgU/FkKgUrAn9S2GhBI4CcVpQGQ6lUSAh3dAigBoDQfSoOgkgBIfTTVQ1hp+FMbAo3Bn9Tm47MXcHXybJw/cwbly5fXzhuxjJ5KAHh3XBHZFsAiE+9q1gJYuHBhAX4UA1CK93fnzh2cPHlS9/r3339x69YtzgUsY73xrQ6kwJQpUzDjl/mo/t2XcHY3HrJCLQhUGv7MhUAl4U8NCNSHP7Ug0FEBUInzf/qPuSH86f9NCRBUGv5MtQSqBX9qQWBO8Ce1GTpvCco8ThAhPvJClhAdAH6pAABO0C4AUly/AQMG4Ouvv87xE/rRo0eaigEoLJgZ5L/MhRVQUIFz587huQYNUG3aSPhWKptrzUqDoFoASAPJzTtYDfijdpWwAhoDPwbAXJdnpgusCYDUsBwIVAv+9AUxZg1UG/6UhEBTwE9qT9oKnjh8JIYOHWrewtHg1ToAnBgs3wI47o5mLYCdO3eGn58fli9frsFZzLnLDIAON6W2HRBt/VKexMgKxYxu/WbXO6UgUE34y80SqBb8ybUC5gR+DIDmPS/GADAmOhmLpl3EpVNRuBseh5joFPgXdEeJ8r54uW9ZNO9cNEscubiYFPw+/RL+2nILkfcTUSjQE206F8MHw6sin29Wi/ncM4+w88uzuH3mMQqW9kGrEVVR+vmAHDtvDQCkDuhDoLXgTwkINAf+pPakreBzp0+jQoUK5i0ejV2tA8BJReUD4NjbmgHAEydOoEaNGrrt3gMHDqBLly4gw0bJkiU1NosMgA41YfY+mNmzZ2Pid7NQfc6EbLd+cxqDHBC0BvwZg0C1wU9fL3MtgabAX16AQCXCwGRn/Yu4EYt+rf9C1XoFUaxMPvgWcMPjh0n4Z8ddRD1MQue3SmPYzLq6aUyIS8XgLvtx7Xw0GrUMROUaBXAl5DH+2XMPlarnx69bWsLLx/XZ9fGp6NFsJ9zdXRDUKhB3zj3GrZNR6LupOQIq+Rl9nKwFf1LjBIHWhj9q2xKnEEvAT19k8gqukpSBHTt2OHSAaB0ATlYAAL/QDgDS9r6rqysqV66MunXrCucOgkAK7rx27VpUqVLF3j+GTe4fWwBNloovzE0BOhhbqVIllB4zCAVqP0tgn9t9hn+3BAKtCX/6EGhN+KN2TQVAc8CPAdC0FZodAKalZYgE8a6umYPlxsemYGCHfQi9HIPFB9qiTOWnsLZo2gUsmXkJ7wypiKHjauoanzstBPNnXMSAz6tg4Ihqut//s+cuPnvnMHac7QS//O5Y9SQJS7v/jVKNC6PlsKwfRtaGP+pogKsTNtyxTZB3cyBQLvzRWFNj43B24HAsmb8APXr0MG3xaPAqHQBOLSbfAjj6lmYsgCNGjMDp06fF68GDB2LmyNuXnnFK9dasWTO0bdtWgCG9ihQposHZfdplBkDNTp39dfzNN9/E3ls3UH7kQNmdMwcCbQF/NMAXA0IRkZIue6zmVpATBFoCfvrtK+kRbE+OIGpaAHOavx/GnsWaedcwZUkjNO1QVHyI9Ki1DfExqdgd0jmTpS8pMQ0v1NgCTy9XbD/TUWddOrjrDoa/dwQ7z3WCr7+7qOOdTnvhXbeg2ArWL7aCP6kP9gqBSoCfvs73du9Hwto/hVXIx8fH3EdYE9dLAHjvK/kAGDRKOwCoPznk2Xvq1KlMr7CwMB0U0j8CAwN1MEjOj1oqDIBami077uv+/fvRvmNH1J4/FR6FCyrW09xA0JbwJw3SHiBQLvhJY3FEAFQC/kgfcx1ACOg+7LAP1y9EY9nhF1C8bD7cvB6DNxvvQpNWQfhxdbMsz8knb/+DfdtuY+OR9ihVzlf8PTYmBS833gFfPzc0bx+Mi2eicPLwQyzd3hpVahXI5ChibQAky59hsTcIVBr+aLwZ6em4PGoK+nXphq+++kqx9zt7qkgHgNOKw89LRiq4hHQEjYjQjAUwtzl4/PhxFii8fPky0tPTOQxMbuLx3x1PARHzr25dxDesjuI9Oyo+wJwg0B4AkAZsSwhUCv7sGQLlxAJUAgBNgT9yBlk77xrS0yHOAB756y7u30rAO59XRt/hTy11h3fdwcg3DqPXe+Uw8us6WZ6V2ePPYumPV/D98ufRrF2w7u+Xzz/GtFGncelsFIqV8sGQL6qj+QtFM93/V3yK4s9eThUagz/penuBQDXgTxpj7I1QhAybiHNnzoijL45WdAD4TQn5ADj8pqYAcODAgfj0009NdvRJTEzE2bNn0aBBA00tA7YAamq67LOz5Pgx6fvZqEaOH27PDq8r3VtDELQX+JPGaW0IbOKtjtb2aAXUAgDeCY9D7+d26Ja9q5sT+o+uhl4fVtBt5+5adxOTBx5Hv08qY9DorGfm5s+8gLlfX8DUeQ3Q4RXTPQ4LOf8/m0hsktKPndH6coI/e4BANcFPX5DQeUtRJTHdIR1CdAA4XQEAHKYtACRHEHpRCJjPPvtMnPtzxMIA6IizasUxKeX4YWqXJQi0N/izNgR29HkaKuSxSmE8lYJApc4BagEApTVATiH3b8Vjz8YI/PrNRTRqWwTjFzYQTiKH1kdg9AfHVANA6sNqlSHQFPijftjSCmgtAJQcQpYuWIju3bub+jamiet0ADirpHwL4KfhmrIArlmzBrNmzcLRo0fFl7d69eoJEOzZs6dDBQFnANTEo2i/nXzrrbewJ+K6Io4fpo6yUpnNeJJQ3NTLFbuOnD5MKWpbAiX4k/qiBgQyAGaeaVO2gI2tjRU/XMHPE8/jk2m10a1vWZzZdQ8fvXHI7C3gnNadZP3Tv0YtCDQV/mxhBSyc74pOgkvXXjLlUVXkGnIISVy3TTiEeHt7K1KnPVSiA8DZpeQD4CdhmgJASf8jR45g5syZ2LhxozjjV6JECXz88cfo168f8uXLZw/TJKsPDICy5MvbN1MuxEbPN0GdBV/DM6CQ1cQgAKRiTQg0Ff4kEdSCQEP4o/bUAECq11YQ2C0xOetayuprYPp6SzPuqf1XPi+T6rAU/qjya+cf473We9DqpWKYtbAxwq7HoFujHWY5gZgLf2qBoLnwZ00I1Ic/qV1rQSA5hFwaPhGfvd0Xo0aNMmlNaeEiHQB+qwAAfqxNAJTmiTx/v/32WyxatAgxMTEiMwilhxsyZIiAQq0WBkCtzpwd9Lt9+/a47O+GUu/1slpvJPiTGrQGBJoLf2pAoDHw0xddDQhUGwCNgl52K0kFADTWlDEolAOA5Agy4rV/0PaVEpg+r6EI4dK+5lbE5RAGxsPTRcT8o62n3Iox65/hPUpYAy2FP7Uh0Bj4WRsAxZewMyG4+c2PuHHjhubywWa3xnQA+H1p+RbAj0I1aQE01Ibgb/78+ZgzZw7Cw8Ph5uYmtoXJYYQcIbVWGAC1NmN20t89e/agU7duqLNoGtx8rWMKN4Q/fSnUBEFLAZD6p4QlMDf4k3SwZwhsnyDTOSF3Fsr+ycjGAmjqo+SUnobD/k9DshgrV889RnApH+Tzy5zC7UlUMj7pflBk/Jj8U3106llK3C4FfDY1EHR27ZoCf9K9ciBQLvypBYE5wZ8tIPDK+Ono06odvvnmG1OXll1fpwPAH8rIB8DB/zkEAEoTRtvB69atAzlA0jYxfVlr0aIF6HNRS4UBUEuzZSd9JStGw4YN8bB6GZTo1dlqvcoJAKkTakCgHPiThJEDgabCH7VlbwDYPi7+2dpwdpG/TiyFQBkASPCnX4yB4JwvzmDrslDUbhqAIsW94entinsR8Ti86y4o7VuLzkUx65fGcHZ+OgD6Xd/O+0ChXSgVXJWalAouGof+ums0FZwx4cyBPzkQqBT8KQ2BpsAftWmtbWBqK/Z6KC6MmITrV6+ieHHrn1GW/4BlrkEHgD8qAICDtAmASUlJAlwNXxQLUPrdtm3bcPz4cQGBaWmZ3y+UnhOl62MAVFrRPFAf5UPsO/AD1Fr4NVw8Pawy4tzgT78TSoGgEvAnBwLNgT+pHVtDYCbo058UBwFAYzB49shDbF0eigv/RiHybgISE9JEyrYKNfOj/asl8fIrJbNs58Y8ScG86Rfw1x8ReHg/EYUDPdGmS3G8P6yqCPicU7EE/iyBQKXhj/og1zPYVPDT18+aEHhjxk/oUK4yFi5caJX3RTUbkQDw/tyysi2AgQNvaMoCGBQUJPpLMW4NCxlADIuXlxf8/f1x+/ZtNadE8boZABWX1LErTE1NRbVq1ZDevgmKdmpttcGaA4DUKbkQqCT8WQKBlsCfWhCY21nAbKHPwQHQGAwaeyD8nCzPomCsPjkAaCoIqgF/UtuWQqAl8Ce1aS0ITLh9F2eHjMaZU6dQpUrWPM1We8NUoCEdAP5MAGi5Bf9JQhoCP9AWAFIMQLLokYMHefwWLlxYOH4Q5On/lP5NOYK1WBgAtThrNuwzHYAdPnkiasydBGdXdQIRGw7PXPjTv98SEFQD/kyFQDngpz9uJS2B2QGgSeAndcoBLYDZPYb628T2CH+5QaCa8GcJBMoBP2sDILUXOncx6rvnw/r16234Ti2/aR0AzlcAAAdoCwDpHOcPP/yAiIgIBAcH46OPPsIHH3wgANCRCgOgI82mymNJSEhAybJlEPBuTwQ0t17KGzkAaK41UE34yw0ClYI/akdJAKT6JAg0C/oM16NcCLTkDKCC5//MfbwIBJUEQCUsf4ZjMHQOsQb8mQOBSsCftSEwOeoxTg/4HAf27hVnpbVadAC4oBz8vC23cD2JT0Ng/+ua2gKmOaPzfCtXrhSOHhTyjOL+kTWQ4gCWLGl6lh57nn8GQHueHTvr248//ohx381Ete/HmxSiQonuy4U/qQ+mWgKtAYDUJ0PHECXhTxqzkhDYNCZO/nTmMQDE/z2fQ4ID5WsHQA0ApI5JEGhN+MsNApUEP2sDILUXvnglaiZm4I8//lBk7m1RiQ4AF5aXD4D9rmkOAPU137t3rwgITQ4ftN1LoV8+//xz1KmTNZ+3LebK0jYZAC1VLo/dR4dhS5UrC/83uyKwRSOrjF4p+NPvbE4gaC34k/ojQaAa8KcUBDaLfKyTL8M9Z+eEXBdFHgVASRc5IKgW/El9Iwi0BQBS+4ZnAtWAP2tDIFkBT/X7FP8eP44aNWrk+mjY4wU6APxFAQB8T9sAqFs/ly6JFHHLli0DeQi3atVKgOCLL75oj1OYa58YAHOViC8gBX777TcMGT0SNedNhZOLsofas1NYDQCktoxBoLXhTxpzTXfLt1ZMWZmWWgH1wU9qhwHQFMX1rskm9qG5IKg2/En1r41PNHOAylyuD4Bqwh/11lrOINQWnQVs7FsQq1esVEYoK9eiA8DFFeRbAN+5apEFcMOGDfjpp5/EFmx8fDyKFCmCRo0aiViL+hk4qK/jx48Xsfnu3r0rrqPczPQ7ctRQujx8+FCcEfz555/x4MEDVK1aVYBgnz59lG5K1foYAFWV1zEqp6CXFatVhXP7Jgju0Moqg1IL/vQ7L4GgreCvpedTi9qjdOOpypQS2lwINAZ/dgGBVjwDaBj/z+y5MCHwtakgqCYAGtZtSwhUG/50Vhwr5QlOvHsfpz8cgcsXL6Js2bJmLyFb36ADwCUV5QNgnytmASCFWiGnC3I6LFeuHCjrlK+vrwizsn//fvz+++9o2rSpkCguLk78+/Tp02jXrp3IyHHmzBls374dtWvXxt9//w0fHx/ZchKAGsYDvHfvngBBigNInsMUJUNLhQFQS7Nlo75u2rQJvfv1xXOLZsBZ7jagiWOwBgBSV5rks80DK8GfJIc9QGBO4JeXAfDW3USs23YP2/c/xOUb8bj7MAkF/d3QuG5+fN6/NBrUzuoZ+ORBHCbNDcOG3Q9x92EyihR2x8ttC2PswFLwy/fMe16CQMoR/NWIUzj/7yOULOeLoeOqo2HzINXO/dF8ZgeW1obAINenZL82SuYRAxPfW+gya1kCb8z6Ge3KVsTiBdqLC6gDwN8qyQfAty6bBYDff/89hg4dikGDBuG7774T5+70C4GW6/+jUHz55ZeYOHEihg8fjmnTpukuk34/btw4TJgwwYzVAbRs2TIT7JEWZAgxVqS4gBwI2iyJ+WItKECLu27D+nhSuwKKd+9olS5bC/5oMK/kfxq5/W5q1uCeag3WEP6sAYE5WQFNAT99LWRtBcs5B2gjC+Do6VcxY34oypX0QrMGBRBQyB3XQuOxefcDkdv3t9k10LNjEZ1EcZHxaPnOaZy5FIe2jfOjdhVfnLscix2HolCrsg/2La4NHz2vyviENFTteQru7i5o3j4YF05H4czxSPy5px0qVVEn7ERuVkVrQKAEfvpry1oQaA0A9Mj/GLE3buPf/tMR/l+oCCeipaIDwGUKAOCbpgMgRZugTCr58+fH5cuXdaCXHXzRtdRX2vrVt/QlJiaiaNGi8Pb2xs2bN81yXCRrHhUPDw8R+oX6kturQIECwlKppcIWQC3Nlg36St5PnV5+Cc+tmgJXb0+kxXuq3gtrAaAEf9KArAWB2QEg9UNNS6AxCDQX/qiPeQ0AN+y4h4CC7mhav0Cmtf/38Si07/MvfH1cEfZ3c3h4PP3QmDDjMqbMC8dnfYvjq0+ebf1N+DFU/H7M+yXx5aDSurp2HnqEnp9cQOjuhrhdqZiAyvc67EWTZoEYMbam4s9bbvAnNagmBBqDP2rXWgBIbakBgQR9huXiqAV4o5H2cgTrAHB5ZfkWwNcvmWwB3Lx5M1566SV8+umnmDp1KrZu3YorV64IAGvbti3Kly+vk5h+X6lSJQFetOVrWLp16wbawaLrKlSoYPKzRDBJQEcA6MiFAdCRZ1eBsbVo2xo3S/ig9LtdM9WmFghaC/5oMIYASL9TGwJzgj9JYGtAoCXgp78ANAOBFsQBNOf8X6e+J7Hr70gcXt8A9Wr4IyM+EWXaHcWT2DTc3NMok6UvMSkdpdocgbenM27saqizSGw7+Ai9P7uAsN2NkN/PVQBgk34X0KBxAEZ9qSwAmgp/akFgduCnv7asBYFKAqAx8JPGFH3+BkI+m4tbNyMEVGilSAD4YGUV2QAY0PuisMLpO2QQXBkDLNqynTRpktjSJXgjK6BUyDL3ySefYMaMGeJXBIedO3fG4MGDMWfOnCzSDhs2TFxL13XsaNkOFoXy6dKli1amzax+MgCaJVfeuvjcuXOoV/85NFjzFdzz+xodvJIgaGv40x+gGiBoCvypDYE1Iu4AnvKtuAyAT2eqW/9T+HPfQxzb1Ai1q/riysUoVO96Ai80KYAtP2cN/9F9aAj+2BuJkD/qo0IpL1HHk9hU1HjpBPzyuaBTi0I4dT4aB0/FYtOutqhRSzlgMBf+qG9KWgFNgT/RpobOAuYEfvrvJ+eHfI/PXnsPBCRaKToAXKUAAPa6mGXYdEaPvHQNCzl/zJs3T5z7I4cOij9LafVOnTqFAQMG4NKlS8IzeODAgVi+fDneeOMNjBkzBpMnT85SF4EkASVd99prr1kkPUE7OXnoWx4tqsgOb2IAtMNJsZcuvf/++9h2+yLKD38r1y4pAYLWAkBjlj9jA1QSAs2BP7UgUMAfFQUAkKqxGAKteQ5QRQtg+O0EVGv3Dwr4u+K/g83hkpyMPw9EotvgEHz4WlF8O+rZVpU0pyNn3sCsJRHY9GN1dGhWULfszlyOxSdfXcOpi7EoXdQDkz8sjk5N8+Nu+TK5PnumXGAJ/En1KgGBpsKfrk0rQaClVkBTwU8az709J/Fo4Q6E3wjN4tBgyvzZ4hodAK6uKt8C+OoFky2ABHkLFiyAl5cXrl27Js7xSSUkJAQ1a9ZEmTJlxN+sAYC0xezu7o6jR4+K84TGCsUEfOedd7BixQpbTJXFbTIAWiydY98YFRWF4GLFUGPOZ/CtaHraG0tB0FrwR7NmKgBKMywXBC2BP6UhUAd/UsUKQKDFAEh9sBQCzXEEURH+UlLS8WKff3Hw+GMsml4Nb3YrCsr8sWLrffQZdQkj+5fAxCFZ4W3KvDBM+DEMS7+ujN4djWQISUjI8sYiFwLlwJ9cCDQX/KwNgNSeORBoLvhJ40lPTcOJXhOwbP4idO2a+TiNvX6S6ABwbTX4+Vger/RJXBoCeoSYfAZQ2rZt1qwZDhw4kEUeOstH8EefUYcOHVJ9C/j8+fMi9mCnTp2watWqLP2hOIA0p8eOHRPp47RUGAC1NFtW7CtFO5+2dD6qzfnMolbNBUFrAaC58CcXAuXAn1IQmAX+7AECNQyA6ekZeHd4CJZvuoP3ehXD3MlVBfxRkQWARuBPt/4stAQqAX+WQqCl8GePEGgp+Om/eYYu3o6yYYnYuXOnRe+p1r5JB4DrFADA7qYD4MKFC9G/f39x7o4cQgxL/fr1ceLECRETMCYmRhUnEMM2Ke7gW2+9JcLM6G/jX7hwQQBoeHi4SBVHoWu0VBgAtTRbVuorxTsSZu83WiKoTQPZreYGg9aCPxqIpQBoKQgqAYDUtqWOIdnCH1VqSyugRgGQHDTeH30Bi9fexusvBWPRN9Xg7OykA0BLt4CRA/zpP4DmWAOVhD9zIFAu+OmP11rnAbOzAioBftJ4kqNicLj7WIScO4+KFSvKfl9VuwIdAK6vLt8C+Mp5ky2A169fF+ft6HX16tVMw6SUpIGBgaCfjx8/FtvpuYWBoa3kiIgIs8LAGNOWYhLS1vSOHTtECrhdu3bh1VdfFVY/2volC6HWCgOg1mbMCv3dvXs3XurVE/XXTIWz27OgtXKbzg4ErQWAcuHPXAhUCv6kds2BwBzBT38iZUKgxdvAGgRAsvwR/C1Zdxu9OhfB4hnV4eLyDP5I1iuh8WY7gYjpMBEA6VJTIFAN+DMFApWEP2rPWgBIbUkQqCT0Gb5nXp6wBL1qNtN5scp9T1Xzfh0AblIAAF8yHQBpTBTWhSylBFz9+vXTDVNy6njzzTdFelIqSgeCJusi5W829FAm6KSMI//995+w9JEDS7FixUBewlrN98wAqOYTpNG6e/TogX8941Dm/VdUGYE+CFoL/mggSgGg+BDOJXC00vBnDgSaDH9SpVqCQBXPAOYU/kUf/np2CsLSmTWewp+At6fbv1TIQphbGBgvT2f8pxcGxhz4k9rJCQLVhD8BZUZyBisNfvpvPNaCQAJANeGPxhR16ipCv1yKW7duwVPmc6fKm7NepToA3FxDvgWw6zmTLYDUBbICNmnSBPfv3xeWtcqVKwsv4D179qBUqVI4cuSIyPdLxTAVXL169UQquG3btlmUCo5CzVCWEfI8rlOnjvBEphellSOrI/3u0aNHoK1oClMTFBSk9lSoVj8DoGrSarNiCoBJD1jdpV/Cq2iAqoMoH2S9szBKwp++KMZAUC34MwUCzYY/qlTmB5FaVsCMA5m3f8T4fc1IF5Zo/EC2U0PjnrXZASDB34BRF7B0/W107xCE32ZVh6vr06DP+vAnzY8U8NmkQNBmWP4MH0ZjEKg2/El90IdANeFPAKfKHsHFPRJ10h68pW4mB/qCcOrtr/D9xK9BVix7LjoA/EMBAOxiHgCSLhQ3kEK4UIDnyMhIAXzkbEG/o21g/UI5eind29q1a0VGELqWDBlkHaRMHuaUESNGiLzC9CIHDyqU5o1elJeY5pAcUBYtWoTGjRun6DDgAAAgAElEQVSjcOHC5lRvV9cyANrVdNi+M19//TW+27gCVaYPVr0zbUtuEW2EJrmr2pZa8Cd1Wh8C1Ya/nCDQIviTKrQFBP5/G9go6GW3IhQAQGNVExRmB4ATv7+OyXNuIJ+PCwa/XRKu/89dK+pJeZpLumvrwqhdOZ/4d1x8WqZUcHWqPk0Ft/1vg1RwMuBPt/b0nEOsBX/6EKg2/OnaUgEC9cFPakdtAKR2wlfvQZFT9416uKr6Rmhm5ToA3FpTvgWw01mzLIBmdlW1y8lSS5ZH/df/2LsP6CqK7gHgNwRC771XQWrovUqXIlUFBAUR8ZMqUkRBpYrYkD+iCEqRotIU6dI7SO8gvUuHhPTkf+6Gedls9r03szOzJeyew/k+YXdm9s6+l1/u7MxcunTJg0L8P7jFX3BwsJIZ1FuLUFrjBBTsAlBAEJNLEfibTbly5QA61oLcTWtIvy0CQFKRLAjKBiBp//NPNyeXHrinFajfCeTCnwAEsmYB47adw1+r2UMlCYBKQ2Lj94NOUaNwona9OewYzFv2dA1FLy2eObYk9HgpYT/gh4+jYdz3l2Dp+jtw804k5MkRBB2a5oCP+haGzBmfvlcrAIBqCJoJwJQR8cPemwx0IXunx18hKhOoBz91m2QjECeD7O4wSpnggKMtdj0IAO+sCuYGYI4XDzsSgHp9g8PAWhTibiU4edJdBsauT7PbLr8RwJR3jTq1oeayzyEwrdw9ELX4UzdOJATNwh+2v26qILgTF+s3zqJPyH/5mrgiOTKB/hCooE97yESglyFg3WA9xZ/237QYTPTvqnf/mDtAIP7iHkQq1UdXL83cDCMXEPw5DYD+4EdiIRuAWM/J4TOgX6tX4IMPPjDSBaZc4wHgGgEAbJF8AKgX/PDwcDhy5AhUr86/aoYpnfu0EjcDaGa0bV7X+++/D78e3wXPjXxDekt9AVAkBs0CIOJPfZgFwfynzgOkE4h1wQDURZ86UDYHoLqpSTBoFIAS8EfaKROBavip42L3LCAt/MwE4M11+yBu8V7ARYbx3TI7Hh4ArqvInwFsdijZZADt2FdG2+QC0Gjkktl1mLouWLAg5BzyMmSvXlb63dECkDTESFbQLPxhG7UAxL+TjUAFf+SwGQL9wo+028gPP9phYAEZQG8fhBQVEoZ7mT8sggBIMn/q+mUB0Bv+SN1mIZB2GJgVfdo+lJ0FjAmLgJ0vjYQ9O3Yps0vteHgAuL4SPwCbHnQBaMNOdgFow06xokkbNmxQ1v6rimv/pTS+7Q9N21nxpy6TFoJW44+0WRYCE+HPRgiM3XOZ5hFIOEcWAFnwh63xMgTs72aYISgRf6StIhHoD35mAxDr84VAXviR+5ENQKzn9Lh58ErZOrZdE9ADwA2VIVMG4z8THoXEQI7GBxwDQNzZA2cU43IyrEdYWBhMmzYN0qdPD++88w7r5aaf7wLQ9JDbs8KePXvCxtBrULx/Z+kN5AEgaZw/CJoFQL3Mn14ARUJQF3+iEcg4FByzOSEbGZCWcfFwVgTSZABZAGgQfyTk1Ag0AX8iEUiLP7MRqAdAUfAzE4B395yA/75cpmwjhjta2O14VgGIM3pxaL5hw4bK9m8dOnSATJky+eweXDz6l19+gQULFkBISAjMmTMHOneW/7OU95lxAcgbwWRwPf7WgotZlvyyP2R6vojUOxKBP3UD9SBoFv6wHbQAxHNFINAn/ixAoBp+pPpnDYDUEBQAQL1hX28fWJ5MICv+sA1mDQOrs4Ci4aeOpewsYGx0DOztOBr++HUxNG7cWOr3rpHCPQDcWIU/A/jCfsdkAHE1jJ9//hnGjBmj4BwXhsaFqHExaPw5mTVrVsCfmbgYNM7kRvzhOoR4Hm4NN378eChSRO7PUSP9qXeNC0BRkXRwOb/99hv0Hf4eBM8ZLf2FZNEA1MsImgVAFvypHw8eCFIBECsT9U6gl0ygHvzU98iEQIdnALUffd2MoMn4M5oJNAI/9f2bhcA8KQJheUj87GdZh2wAYrv//XYJNEpXSAGH3Q4PADcjABmz+qqbeRQSDTkaOgeApOm4rMvKlSth9uzZsGXLFgV8ST7rKVJAhQoVoF27dsqWdfny5bNbN/psjwtAR3WXnMbiby3/pA+HIr3ayKlAVaosAJIqKqc1byjFKACxrUYQSI0/EgwRCNQBoD/8YfVMAFQuYJgJKXIImHP419cHxgNBi/DHikBe/JH6ZCIQ4UcO2QDEemQj8OGxC/DviJnKlmepUjHsciP9mxogAYBVBQAwPkvmbyjVhNsyXMXJkyfh6tWryq4kadOmhZw5c0LZsmWZdxox3AAJF7oAlBBUJxUZGRmpbGVT6qsBkLGU3EVJZeMP494ifcKX6H+x8tbk48Gf+vmghSAz/iQgkAZ+6ntjQqDFAFyw/RHsOB0GBy+Gw7ErkRAZHQcz+uSGHvX1t5F69CQGxi29C8v2hcCthzGQO3MgtK+WAT7qkB0ypUtAioLAsDA4czkcBk6+BHuPhcBzhdLAhH4F4YVqvt8rIrFkGfbV++7xNxQsCn4yAaiGX3ICYFxsLOztMBpW/L5UeefMTocHgFuq8QOwwT7HA9BOfSOqLS4ARUXSoeWsX78eOnbvClV+G+/Y4V916NUAJH8vA4KiAIht9IdAw/gTiMCY3deZn3AnAbDkoPNw+U405MgYCOlSByj/3xsAQ8Nj4YWxV+DwpQhoXC4dVCqSGo5cjoB1R55AcOHUsHFUQUifJn6v4LiQKHgSGQtVJt6AoKAU0LpuFth/MhR2HQ2B3XPKQLni6XzGlRd/pHBvCBSNP5EI1EOfNliys4CyM4B4P2cnLYROz1WHL7/8kvkzJvMCDwC3VucHYP29LgBldpbBsl0AGgxccrmsf//+8OfV41D8vS7Sb0l2BlAPf+qbEgVBkfgj7fOGQG78cSIwZtvVhBCmikcN7eEkAG44Fgol8gRB4RypYPKf92DUb3e8AnDMkjswYdk9GNI6K4x/NacnHOTvR7bPBqM75lDwh8f640/gle//g4urKkLWTCmVzeTrvXkSGlbNBOP+V8BrOEXhTw+BsuAnAoA08CP1yAYg1iMbgbe3H4HQH/9WJhTYaVFoDwC3CQBgPReAtN+bZp7nAtDMaNusLvxBlLdQQcg9oANkr1leautk4w8b7w+A5AZ5ICgDf+rAqyEoDH8GEZgIf1gGIwDxEikIFPUOoJf3/3wBED8zxQech0dhsXDp/4p7Mn14r+GRsVC0/3lIF5QCzk4o4PlhvuboE+g64z84P6kgZK+TWwFgg7dOQt1KGWHCuwV1P3ei8adGoGz8GUUgC/ySEwBjwiNhR6vhcPjgIShd2pzt/Gi+7D0A3F6DPwNYd4+bAaQJusnnuAA0OeB2qg73LqxWqybU/OMLCEwt9wVk2QCkxZ86/kYgKBuA2D5EoHD8MSIwCf7I9YwIlAJAbIs/BNKsA2gAgGdvREL5oRehafl0sGJ40uxd56+vwYr9oXD00wJQInf8ZwqxGPzJVcicNgW8WD4dHLofC9sOhsCOn0pDpefTJ/lKkIU/rCjufgQENDQHGbSTQYzATx002VlA2RlAvJeTI36EgW26wLBhw2zzI8IDwB01+QFYZ7cLQNv0bEJDXADasFPMatK4ceNg+t9/QKmxfaRXaUcAsmYEzcAfaVPQ7hMQkDnx/sLCOsnP7GCv+JONQJETQSQBcPXBEGj/5XV4p2kW+Pr1XEm65IMFt+HrVfdh2bu5oUX5hPf7jlyNgPcW3YVDVyKhSPaUMG5IEWhVN4tp+EP4kcMsAGJ9vhDIC7/klAW89sd2SL/9HPyzc4+wjzlvQR4A7qzFD8Dau1wA8naIhOtdAEoIqlOKDK5aBSKbVYC8LWtLbbJs/GHjjWQA9W7aV1bQLAAi/jw/rE1GoF/8YcNkZQEdAMBFOx/BG9/dhOEvZYNPO+dI8ghN+PU/GLPiAcx+Mye8Ui2D389VYKWEMmRl/tT4swMCRcFPHVynZwEj7jyAnR1Hw80bN5TlRexwJACwtgAA7nQBaIdO1bTBBaANO8WMJt28eRPyFygAtZZOgqCsdMtRGG2XbACKwp/6/rQQNAt/2AY1AKVCUJUJpIKfOkBWI9DXEDBH9g9v0dc7gKIBiPUhAmXgTw9+6i40KxNIsoAy4GdWFtCMYeCjb38Fnw8dBa+//rrRr1qh13kAuLsOPwBr7khWAKxevTpMmTIFatWqJTTmZhfmAtDsiNukvoULF8LAsaOg3A/DpbZINv5EZv98ZQTNAqAe/mQjkBl/pEEMCKR+F5A2C2gRAH0NAeOs3w+W3INv1j9MMgTs60OG+FNnAkV8IP3hD+swA4ABj0OU2zmRRX89RRH3imXIzgBiHbIReH7GCqgZmx0WzPtFVFi4ykkAYF0BANyerAD42muvwaJFi+CVV16Bzz//HPLnz88Va6sudgFoVeQtrrd3n96w7tFlKPGu3A2rnQ5A7KZyUdEQ6WVLNNHd6AuAyg9twUPC0dtuQoBq4WKm+2EAoNL2tBTbSdkcgN4mgZAlXzpPvwV/HX6SaBKIP/yRfxeBQBr4qdsjC4EEfqQu2QA0A4GyAJgl3WUlTLf2XIQTYzfBnas3bbEcjAeAewQAsEbyAiD2F+4BPGTIENi/fz8MHTpUmcCDO4Q46XAB6KTeEtjWIs8Vhfz9qkDe+iXgXkhxgSUnLko2AGUM/2qDgQAkh0wI+sNfoh/cgiCIAFRwZgICqQCoNIZiWziLMoB6y8AQ/IVHxUKx4VcgTaoAOPdZQb8/xPWGfXkQyIo/JdSCZwRr4ad+ZmUj0ClZQAI+7fdMdFgU/NXwWzhz6jQUK1ZM2ncybcEeAO6tx58BrL4tWWUA1TFcunQpjBgxAsLCwmDSpEnQtWtX2hBbfp4LQMu7wPwGXL9+HQoULAhtNg2AVBlTJ2mAKBDKxh82XDYA1fhTB0o0BFnwR9rBmw0k+POUZxcEygagn/1/WReCJgAcu+I+TFj5AEa2ygKj2mT1+cH29c6fEQQawZ+n3wUg0Bf8SD3PMgC9oU/7kOx+63cY878PoVevXub/YNDU6AHgvvr8AKy2NdkCEMMWHR0NU6dOBVxZo2TJksr7gfieoN0PF4B27yEJ7VuwYAEMmfgB1JlLt/uHURAmZwCKzggaASAPBLX4MwuBVFlACgDGRcR4/2SkTJpBDEijGn7WAeBPmx7CzjNhSpnHr0TAwYsRUKtkGiieO34pnrZVMkDbqvGzehNtBVc6DVQqlBqOXo2EtcfDILhgEGx4Py+kT+191xR/Ez5YAMgDPxEApIGfWQDEemRnAWmHgWnBp32IT3y3DapGFIe5c+dK+OZnK9IDwH8a8AOw6pZkDUAS2QcPHsCYMWNg+vTp0LlzZ1v0o69edwHI9plIFmf36dMHtoYfgXKD2TcfZ8GgbADKzv5hZ3vLAOo9CEazgjz4M4JAb/jjQiDD+4B+ESgBgHr9FRAU6Pnr3j/chF+2PfL6+f6wfTYY1TFhyZaHT2Jg3K+3YdmBULj1KAZyZwqE9pXTw4etsyoLPns7/OGPXEeDQBH4M4pAFvipY5Fcs4BGwad9Tv7bcxHOjNsCN65c9/sKgewfRh4A7m/ID8Aqm5M1AC9evAjHjx+HY8eOKX82b94MONIWE+PjF1XZHUhRvgtAiiAlt1MwRZ2zXzDkrcf/7p83EMrGH/aJbACy4E/9jLBCUAQAaSHoD39mIFAPgHFRsYk+Zmqc6X3+WDOAPn8LVkGQ5bNOhn5pr6HFnz8EioSfuu3+3gc0ir7kCEBR4NM+O3Z6D9ADwAON+AFYeVOyAuCXX36pgA//nDhxAp48eQKpU6eGMmXKQPny5T1/mjZtSvv1YMl5LgAtCbt1lV67dg0KFirk9f0/3pYREMoGoGz8YRyMApDEkAaCIvHnD4G0+JONQAJALfoSYYQCZV4RqDMETPtc+4MnKUc2/rwhUBb+sD5vABQBP3I/sjOAWI+sYeDnng7rL71ZivZxMnQevgf46Tsj4c033zR0vaiLEgD4AmTKSDGD30vFjx5HQ47KG5MVAEuVKpUIeuXKlYMSJUpAihTes/+i+kVkOS4ARUbTAWXh2kWDxw2HOvPo3v8zeksd85xWLr0QmTizY7Q87XVOACANBGUAUPlhrpklzIo/wwikGQrGRyLI9xclDcSkADDF0/cHU/oYxg2JYnqMWTN/2sKVhaJVW7kxVc54shqBIuGnboZsBIoCIAGfXghlIvD4tG1QLdL69wA9ADwoAICVkhcA8ZmIiooCHPrNkSMHZM3qe9IX48fQtNNdAJoWantUhOsWrbi6BSqMaCK1QQSA6kpEYlA2AHmzf3rB1WYEZeFPXTeBoFEAKphknR3sC4Hk9wEbAjCA4E8dQB0IsmT/ePGHTYmJiIFUpZLuGyzjA4wAlAU/0l7ZAMR6jCDQF/i0sZYJwOtb/oUHM04oQ4tWHgSAtw815s4A5qy4IVllADdt2qRM8rh//77yrmbHjh3h559/hnTpEvb/trLvaOt2AUgbqWRyXsOGDSGkQToo0q6CtDvSw59eZUZBKBt/2FYZACQxQAiagT9SX8yRe9x9zY1AvUQwJwJ1M4A8w796AMTIqRBoBf6wCWYAMO5O/CzowOYluZ8XXwXYBYAs4DMTgGG3H8PqFtMBAZYhg//9pGV1lgeAh5vwAzD472QFwEqVKkGePHlg8ODBcPXqVZgwYQJ06NBB2RXESYcLQCf1FmdbY2NjIUuWLFD9x06QpWQuztK8X04LQG0JtCCUDUCZ+CP3HLfxJARkS7oGo+hOiT5wx1NkgI9hTZp6mRBIsoC+3gCwEQB1s3/aoKRMAbQA5M38YdZPe8hCIIEfqU82ALEe2Qj0lgHkQZ+6P2RmALGedc2/h1VL/4K6devSfDSlnOMB4BEEYCrDdTx6HAU5KyQvAKZJk0aZ7Yvv/eFx4MABaNSokYJcJx0uAJ3UW5xtPXPmDJStUA7abB0IKVIlLIHBWWySy40CkBaEyQWA6vuVhUE1ALE+UxEYSPFCtA8E+nsPUGQG0B8AE01YiYnz+ZGRgT+sUDQAtfBT35RsBMoGIN4LIlAU+LQdLhuA/wz6AwZ36AsDBw4U/fVMXV4CAJsKAOD6ZJUBxMkeN2/ehFy5EhIpiMLLly8n+jvqYFt0ogtAiwJvRbULFy5UFoCuPedVqdWLAqC6kSQ7KBt/WKfsDCBm/7wdIiGoxV8icHJkA6kygamf/oIR7RtLviaD2BaAGEgvCOTBn17WT/uc8CLQF/rMBCDWJQOBeVW/dPwdHinte042AE9M3wZVw62dCOIB4LFm/AAsty7ZAfDHH3+E2rVrA84IRhBmzJgRDh8+bItt/GgffBeAtJFKBue9//778MelTRA8Uu7aRDIASMJfP3X8zgy3YuUssCkbf9h2XwAk9ykCgr4AyJsN9IpAAj/150USAlkzgP9cCIdxy+/DnnPhEBkdB6XzB0G/ppmhS+1MST7d87Y/gkkr7sPdkBhoVjYdTH41O+TMqMmaaxAoG3+kkUYQSAs/UofsDKBIAKrRp+5ImQDEemQi8PqWs/Dwx1PKOnNWHQkAbC4AgGuTFQCrVKmi9A3OBA4KCoLSpUsrQ8Iff/wxNGnSBCpWrKisC2j3wwWg3XtIYPvwHYVH9dJA0fbBAktNXJRM/GFNBIDaGxAFQrsAkBeC/vDnKV9kJlAPf1iRDQC49VQYtPnqOgQFBkDnGhkgU9oU8Mf+ULh4Jxo+7ZgNhrfJ5nmk1hwOhXZf34A2ldJD0Rwp4be9IVA0Z0rYMCxf0t0ZniLQKP5osn7aZ50FgKzwU9clG4FGM4DewKeNk5MBGPbfY1jz4vfKRJD06dNL+772VbAHgMcFALBs8gKg8rUWHa0gEN//wz8HDx5UMoChoaGQKlUqKFu2rPL3dj5cANq5dwS2DSeA4FpF1b7vAFmezy2wZHsAUBQIZQOQJvun1zksGUFa/KnrMfpuoCcT6A1/pBKDCPQ1DEybAYyOiYPgDy/DtXsxsPnD/FCxcPxv5o/DYqHhhGtw5mYkHBpfCErkic8ud59+EyAOYN7/8gC++3fyeiRU/vgqHBlbAJ57ek6iPoqJAyMANII/Uq8/BPLAj9QhG4BYDw0CacGn97mRiUCZGcC4uDhY3/wHWL18JdSpU0fa9zUVAE+24M8All7jqAzg+fPnDQ3lYr/hu/b79++HQ4cO2X5WsAtASz5a5leKD/Tzzz8Prbc7YwKItwh5ywD6iihtdlA2/rCNRgFI7o8GgkYAiOUbRmDWeDj5PXwh0MBkEFoA/n3sCbT56gb0qJsRfuiVePb74n0h0H36LRjaOiuM7ZRduYVu025CYCDAnDfjz0UgBo+6CofGFIBSeTX3+nRR6LgItgXPefCHbfIGQBHwsxqAPODTPoNOBSDexz8D/4D3X34X+vXr5/ejJeMETwbwZEsBAFztKAAGBgbC2LFjYeTIkTJCa5syXQDapivkNmT16tXwev83of7vPaRWJHMI2Aj+9G7WGwhlA5AXf+p78QZBo/hLVDbDsHAALf6wAjOygDrrAI5echcmr3wAc97OBS/XyOi5VZz5ez80BvK+ewFqlkgDmz8qoPzbkr0h0O27m9C2UjoomjMV/L43BPJkTgnbRuaDFOq1AjU7gtAgkBd+6n5SI1Ak/NR1yM4CkgygSPSp2+9kAB79ahM0z1oDvv32W6nf2d4K9wDw1Iv8AHx+laMAiJM6PvnkExg9erQnPD/99BPs3LkTZs6caUl/yKjUBaCMqNqwzClTpsA3f86AKl+0kdo6JwBQGwACQicB0BsGRQAQy6bJBjLhjzTYQBaQaRhYB4Bdv7sJy/4JhR2jC0DlIgkvZpOlXwr0Pw8BEABXphb1hHX6uvswZd1DuBcaAw2fTwtfdckB+bOq9kP1sh2cLwSKxB9paMrscl80lwbA0PhFp/G4XyiftO8kmQDERsscBj6/+CDk2h8Aa9askRYfXwV7AHi6FT8AS610PAA//fRTGDNmDMTEJJ2AiAtA//nnn7B9+3ZL+spopS4AjUbOYde9++67sCFkP5Qb1FBqy50IQAxIrjt3lbjEZZS38r7IDKBeJ8ZcfCy8b71B0BD+DCKQF4Ctv7wOG46HwbGJhaB47vgFbdXr/pUeehGu3Y+GRzPjF3VNtOafXkT97AWsRaBo+EWHJ/wASpNf/tZTQhCoAp82pC4A9T+2/+29BFcn7QF8fceKwwPAM635AVjyr2QNQF84tKLvaOt0AUgbKYef17RpU7hXK2WynAEsomsIALVliQKhbPxhuyNOP1Can9LfhAzGgOkh0EwAKmAL0l+4PMl7gDoZQBYA8uKPhJYgUCT+1PAj9dgWgD7A5wKQ7gP45NYjZSZwWFiYJUuKeAB4VgAAn3MBSNfr5p7lAtDceFtWW+HChaHIqLqQs0pBaW2Qmf3DRot6B1AvAN4AKAqEsgFI8Kdur0gIqhHIhT/SQG9DwV4mg1AB0Ms+wNohYO2uH2QI+PJXhX1/Nvxk/rQXRz+KEvJZ04OfumDZCKTOADKgT91+mRlArEfmMLDMIeC42Dj4q94UOPjPAShTpoyQZ4mlEA8A/23DnwEsscLNALIE36RzXQCaFGgrq8HfINOlSwet1r0LaXLIG+KUCUCZ+MO+oQWgURBaAUDSVpEQTJEzjbhHmQGBPADUTgJRA1A9CWTTcB/vojHiD4PEC0B/8LM8C2gQfGZmAJ0MQGz79q7z4fuJU6Fdu3biPneUJXkAeK4tPwCL/+kCkDLuZp7mAtDMaFtU19GjR6F67Rrw4pb+SReyFdimZxGA6vB5Gy6WjT9sg14GUNu1vBAMLBj/y0NceLS4p0YPgTpZQB4Arj/2BNo+XQZmRu/Ea2D+vudx/DIwLbPAmA4Ji0EnukED+CPXG0EgLfzUbTQlCygIfHoPj8wsoFMzgBinAyNWQt/G3WHYsGHiPnOUJXkAeP4lfgAW+8NxAMydOzfUr18fqlatqvz566+/4JtvvtGdBOK+A0j5ULmnmR+BJUuWQL+P34M687pIrdypADSa/fMXTAJC2QCkwZ+6rUYhSABIyhICQc4sYKJ3AL0MAeNC0BVGXobr92Ng66gCEKxaCLrBuKvKOn8HPvGyyDMH/lizgEbgJzMLGHMvwvPYBLWNnyAj63AqADEeMoeBj0/bCnWgjCVLj3gAeKEdPwCLLncUACtUqACnTp1SdvvAIyAgwPPov/rqq1CuXDnAc/BPwYIFwQWgrG8Gt1zuCEyaNAl+2DwfKk94kbssXwW4ANSPTsyqM/FfIjnTSok/KwCNYFCLP+kIpMwC0gAQ27rlZPxWcKlTBShrAeJWcMv3h8DF29HwSbusMLxV1qR9w4k/UqC/LCAP/EQDUI0+bUBkItAFoP5Xw8U/j0KGTaGwefNmKd8dvgpNAGB7AQBc5igAYlwiIiKUrd1wOzfc2QP/F/f7xf1/1SjMnDkzpE2bFm7evKmbHTS94xgqdIeAGYLl1FMHDBgAa+7vhgrvvSDtFmTiDxst8x1AWRlAEmwCQG3wRYGQB4CkTf6ygt4AKAyClEPBy1pVYHqG26856jn/n4sRMHbZPdjzbzhExsRBmfxB8O4LmaBLzYTFoT0nC8KfNwSKQJ82EEaGgX2BL7kAEO/DqcPAt3ZfgFtfH1S2FzP78ADwYgfIlCl++SQjx6NHUZCzyFLHAVDvXhF/R44cSYRCfMUKsYhZQr01Ao3EzKxrXACaFWkL6+ncuTOcLnAHSvaoIa0VLgD1Q+sNf6IwKAJ/6rboQdAf/oQg0AcAWdGn1xMIQe3sX69LvgjGH7aHZAFlwI/cLw0AWcDnApDu61LmEPDDf2/D9p4LISzkCV1jBJ6VAMCOAgC4JFkAUC+8OEx8/PhxJUvYq1cvgT0gvygXgPJjbHkNVWtXgxSt80KhlvKWEpAJQJnZP96bE4sAACAASURBVOwcmRlAWgAaBaFoAJJ2qCFIC0C8luu9QA0Cl7WvKPyz02HdMU+ZugCUgD+lwhQBEH4zYfcL4TcGAN4AyIM+dTtlDgFjPU4dBpYJwMiHYbCi0beAGMuYUSdTLeNBelqmB4CXBACwcPIFoMQukF60C0DpIba+ggJFC0GxD+pArmp+1jnjaKoLQP3gGQUgLQhlAZDUn7pEZkNPhWEIRseBDPhpb6L9yiNJ70sG/lR7B8sGIN4QIlAU+LQBcgGo/1GQCcC4uDj4s/bXcPzIMShZsqShz6LRiwgAbwoAYB4XgEa7Qep1LgClhtf6wvELJE26tNBgfnfIVDS7tAY5FYAys38YbFEAVHcceXdQNv6wzqCnS78EGNhdxAgCl7UJlvaM+kSgaPyp4KeuVwYCYyJjPVWkyWz8XS1/gXcB6D1CMhG4sc0sWDZ/MTRo0MBfFwn9dwLAGwIAmNcFoNC+EVWYC0BRkbRpOQ8ePICsWbNC2y2DIFVGORvHy8QfhlXmELATAUgetccXQ5T/m5rjBW1fjy3BXyJ8SoSgmfhT31P7X/eL+/R6gR+pQAQA1eDTNlwmAJVfCCQuB+PUIWCMi0wA7ur5K3w5YiLg8iNmHgSA1y/xTwLJVzh5TAIxM/5m1OUC0IwoW1jHyZMnoUKVYGi7fbC0RaBdAOp3sIzsn7omAkBt7aJAqAdAoxj0lw20Cn/kfrgR6Ad+vAD0hT51n7gA9P5la6eZwGlT3af+qbB18HoY2LIfvPfee9TXiDiRAPCqgFnABZLJLGARcbVTGS4A7dQbEtqyYcMGeLlXV2j8Rw+q0mPjAqnOU5/kAtBeABQFQn8AJPWwDA/rQdBq/BlGICX6tP1BkwWkBZ/ekycTgU7NAGKcZAOQBXUsX7L7JuyENvlbwOTJk1ku4z6XAPCyAAAWcgHI3R8yCnABKCOqNipzwYIFMOyLj6D2Tx2ltArBKBOAMod/MSAyh4BlZgC9Zf/8dTJtdpAWf0YygmoE2gV/eB/UWUCD8POVBeQBn7bPnQpAvA87DQMXSpnC38fJ8+8/3MpBfS7riUd/OAAVHpaGuXPnsl7KdT4B4CUBACzsApCrL2Rd7AJQVmRtUu73338Pny34Bqp/20Zai/rkO0dV9u2YOKrz1Ce5ANQPmVEAakvzBkIjACRl02YElzYty/w8yL7AJwI54acGoEjwuQCkeyowA8iCOrpS48+SCcBT849B/pM5Yfny5SxN4j6XAPCCAAAWdQHI3R8yCnABKCOqNioThw2+3zAXqnzWQlqraAHI2gAEo0wAysz+4b3aMQPorw8ICHkASAtBOwIQ254EgYLgF/ckfl9RPJ7cSdhn11+fsP67zAwgtsVOw8BZwiOpw7OXIaNHXejTE2UC8Nyy05B2cyDg6zxmHmoAZuSYaPb4URQ4CYBGF3PGnUBmzZplZhdx1+UCkDuE9i7g448/hgVH/oBKHzeV1lBZAMQG109FN3P5dlzCUhi0N+oCUD9SGUuq1v5LRT8M5i3uehlBu+IvEQA54acGnzY2LgD1nxYcAmZBHe1nHc9zKgAvrTsPEb8+gj179rDcLve5BIDnLrYHXgAWL+KcvYBTpDD2neduBcf9yLkFiI4Azhz769ZWqDi0keiiPeXZAYAsN0ewKBOAMrN/eK+ihoD14pYIgOoTODFIIGhn/JHbbf/7AZZHSjnXF/jMBCDWJTMLaCQDGHc/lC6epeQtVu9UAF7ffgVufHsRTpw4QRdDQWcRAJ69wA/A54o6B4CXLl0yHMHCheU9v4Yb5eNCNwMoI6o2KrNPnz6wPe4olHu3rrRWOQ2AJBAB5y/QxSRjBrrzVGclSwBqo2AQhMtaV2COp9kX0ACQBXzJDYDUoGPtOBeASSL238GbcPLDg3D58mXWaHKdTwB4RgAASzoIgFxBc9jFLgBN7rDt27dDvXr1oHXr1rBixYoktb/99tswY8YMqFixIhw8eDDJv48dOxZGjx4NkyZNgmHDhvltfZcuXeB4rmvwfM8afs81ekKyByBLYJ5iUSYAZWb/8Fa9ZgD9xYEShE4AIN6qHgJ50KcOn8whYKzHSAYw4lGUvx5W/j1Dq0JU5xk6yQVgkrDdP30XdvTeAPfv068dqC3k4sWLULRoUZ9dEhwcDIcOHfKcQwB4UgAAS7sANPRxkH2RC0DZEdaUHxUVpezMERgYCPfu3VP+V32UKlUKzp49q/zVnTt3IFu2bIn+vXHjxrBx40bYu3cvVKtWzW/rEZrXK4RDiZcr+T3X6AkuAJNGLuzPi1ThDMoaRHWe+iTbAlB7JzogdAr+CABFgU+vk2UiEAFICzrWB9AFYNKIyZwEEnL1Eaxo/Tvgzw58z8zIQQBYvHhxeO2113SLyJMnD/Tt2zcJAE8IAGCZZALAmJgY5edyRIT+JK5ChST+cmSk4/1c4wJQQlD9Fdm8eXNYt25dEsTduHED8uXLBx06dIClS5cqf9q3b+8pLjIyErJkyQKpUqXSxaNevQ0bNoQnjdNBkTbyltxwAWgcgP6eFfW/EyzKBKDh7J+/G3mKQScBsN2cvf7uiuvfjQAwWjWT2FflqdKn5Gqbr4tdAJoLwPB7YbC4wTwICwuDNGnSGOpXAkD82bNmzRqqMkgG8LgAAJZ1OAD3798PI0eOhK1btwL+HNY7EOfR0Qkz/amCbPFJLgAt6IDPPvsMPvjgA/j8889h6NChnhYsXLgQunbtCjt27AD8oOJ09ClTpnj+fdu2bVC/fn2vw8d6t1K1alUI6pIfCjQuKe1OXQCaA0BSS9hduiVEUqRkzxZIA+DTxi9rX1HacyijYJkIRADSgo713lwAJo2YUyeBRIdHw6JqP8Ht27chRw5jC07zAPDohXbcs4DLF10ODx8+hEyZMrE+ypafj8PitWvXhpQpU0KjRo2UV7dwuBwzpgcOHFD6BRMtOAHk559/try9LA1wAcgSLUHn4nT+mjVrQsuWLWHVqlWeUnHCxqJFi5TsnjJ0e/06HDlyxPPvY8aMAVzW5csvv6TeF7JSpUqQ/vUikK9hCUGtT1qMC0B7ApClwwkWZQLQafjD+BkBYEwE3ZJEobfCWLqI6VwXgMkHgLFRsbCg8kzAESJEh5GDB4BHBACwgoMB2LFjR1i9ejVgFrB06dKAy8R88sknyrv4mJUdMmQILF68WBnRK1KkiJHusewaF4AWhB7fI8D3APFA7OFvFniULFkS8B0NfNgmTpwIH374Ifz333+e3/peeOEF2LRpk/JbB8KO5sDfVDL1Lg556xWnOd3QOS4AnQ9AcgeZCqTz+wwEZGJ/bxELdTIAaVHnN3iqE1wA6kTLnQSSJCixMbGwoOJMuHbtmvKKkJGD5h1ATEq0aJGwYQAZAj6EAMyYyki1yjWPH0dBRQcDMHfu3ErmD5MzeCAAMRGDf/CIjY2FypUrQ5kyZQC3XnXS4QLQot5q1aqVkv3bvXs31KhRQ8n25c+fX4HfiBEjYOfOnVCnTh3lNwv8DYS8/4fvgOBLqLSLVZYvXx6yvF0S8tYtJu1OXQA+WwBkfZAIGJ0IwDYzdrPeLvX5LgBdANI8LHFxcTC/wo9w5coVKFCgAM0lSc6hmQU8cOBA+OabbzzXEgAeEADAyg4GIP7MxfV0J0yYoMQmderUMGDAAMBdtsgxaNAgwFe4bt26Zah/rLrIBaBFkf/iiy+U9/8I+PA3h27dusGuXbuU4WGc8YUTPnr27An/93//p7x82qBBA2VSCE4OoT3Kli0L2d8tDXlq+14CgLY8vfNcALoApHl+lr9eneY0W53jAjBpd7iTQJLGROYsYKztl/IzABcoNjrLlGcIGAGYgSMDGPI4CpwMQIw5JmymT5+udDy+64cjcOq9mXH29Pz58+Hx48e2+v7y1xgXgP4iJOnfcRi3SpUqymQPnJX11ltvKb9BPHjwwDMk3KRJE7h58yYcO3YMPv30U+W9g2+//Rb69+9P3SpMS+foV8YFoE7EqBeCpo52wom0y8AYKBpoJ4EYKZtmCNhIuXiNC8DEkXMzgDpPkjsErPvxwgzg+fPnDb9jxgPA/QIAWMXBGUAcFscROFx+DQ+cqIn4w//GZM3JkyeV0Tp8fWvfvn1Gvx4tuc4FoCVhj39vAGd04YOF6MOXS4sVKwZr1671tGjcuHEwatQoJa38yiuvwObNm+Ho0aNQrlw56lbjuVn7lnKHgF0AUj0zLgATh8nNALoZQJoPjswMIBkCxp1AChYsSNOcJOfwAHDvhZe4M4DVi/7h2FnAU6dOhcGDBytD8Hnz5oXDhw8r8MOf3bhOLy7QjT/PlyxZkmjZNkMdZfJFLgBNDri6unbt2sEff/wBv//+O3Tu3BnGjx+vrDVEDrLsy7x585QMYcaMGRUMsiwGWqFCBcj8Vgl3EogLQKon3QVg4jC1/mEXVdzwJJbPJZ7vZgDdDCDNwxUXGwfzg38UMgnEyDqAewQAsIaDAYivY+FkTZy4GRQUPwEO39HHn9eYlcUhYRyVw2Fipx0uAC3sMVzjD18exSwdDvPi+n+43hA5cLVxfA+wRIkSyr8jEn/77TemFuOWchl6FoN8DdxZwNrAuUPASR8lQwCk3J1geQ//O9cwPdwmnMwCQJbmIBZdALoApHlmYqNjYUEl65aB2S0AgDUdDECaPnLqOS4ALew5XOMPl2nBI126dMpQMO7yoT5w+jkO/eLx3XffwTvvvMPUYpyenrZ7Icjf6Dmm61hOdieBJI2W498BpEQdy3OC5zoNgbIAiLG4d5b+hXHWvX3ddQCTPplOXQg6JjIGFlaZpYz+5MqVi/Ujp5xPswwMnofvmZODzALecZ5/CLhOMecOARsKuEMucgFoYUfhux34gcZlXXDCx/r165O0Bj+QOAEED3zZ9Pnnn2dqcd26dSG6VRYo1LI003UsJ7sAtD8AI0PotijKUTozS9czn+skAMrEHysAWQKNWHQBmHwAGPEwAn6vO0eZYZohQwaWR8FzLs0yMHgy/kzSAnC7AADW5QQg7po1fPhwpWlkpQxtIBCs+PMS38XDyZO4aDYuoYZ/x7MDCW7AQHNgVh/f2XfS4QLQSb1loK2428h/VWKgeKf4TKOMwwWgNQCkRR1rn8tEoJMA2HZm0jUAY2MSfkCyxlV7PksGkLWuVOkCqS9Jk4VtYW93GZikoZU5CST0Rggsb74QcAMB1vdMqR8CnRNJBnCbAADW4wAgJj5w2RXcMCE0NFQXgPj3mOzAbduaNm2qLMyMkzVwhQ18DWr79u2QPn16Q+Hwt+Yu9gnCGf8X+8hJhwtAJ/WWgba+/PLLcLrAf1BK4vtXLgDFATDigf5G4+oawh9GGXgS6C8RCcDosMSZx7/erkXfEIvP1AOgtkk8ILQLAFnCjFh0AWguAB/8ew+29FgLCDIzDwLALefbcs8CblDsT0OzgBFUtWrVUnCFO2X98ssvugDEXTkwUzds2DCYNGmSJ0zk73HbNjKSxhrDLVu26F6Cexvjcm64NBuO4L377rvKWr1OOlwAOqm3DLS1V69esCfoFJTtW8fA1XSXuAD0DkAa0NFFOfFZMhHIC0At+rT35wQE0uCPB4My8YftYskAsj5/2RvTb0cWkMf/1oKJ6nfXAUzSHbcP34IjQ/cqu0WZeRAAbhYAwIYGAYi7byDcEFq488acOXOSABCzb7hDCrYXh37Vmb7w8HBl+zx8xx6XcZGRQT179qyScZw5c6ayXJuTDheATuotA23F7X3W3NsBwUMaGbia7pJnDYBxd8P9Bubhyst+z+E5wU4A9Ac+JwKw1fe7IDBlAE8Xga/s4LMCQJYAKlh0AZgkZDd2XYUrX/wLp0+fZgkn97kEgBsFAPAFAwDElS9ws4SPPvpIebfujTfe0AXgmTNnoFSpUp5NFbQ3TpZbw/Oee07OZMgePXooa/QePHiQO+5mFuAC0MxoW1DXhx9+CL+dXgWVPmoirXanA5AGdEaCJxOBVgKQFXza2OF75iv72ncoGPGnPnghSMpSg1AmAGVm//BeWDKArJ+bFMF02cW4LOyTlZw6C/jyhgsQMvcu7N+/nzWcXOcTAG443xbSc2wFF/o4ChozAjA6OlpZbBn/F3fXwNUxvAFw5cqV0Lp1a+jXrx/gos3aA7dcxa1X8bwXX3yRKybeLn7//feVVTqePHkipXxZhboAlBVZm5T72Wefwcyt86HyhBbSWmRLANLsyXjqqrSYYMHJCYC86MN4qCYYOgqAMjB455S897meBQCyfnARjE4F4Pk/z0CqdXGe5cBY793o+QSAf5/jB2CT4n8qQ7Dq2bipU6cG/KN34Pt8Y8eOhT179ijDq3h4A+CCBQugW7dugMkO3D1Le2A5+A4gntelSxej4fB6Ha7Xi5lKXCza7GF63ptxAcgbQZtfP23aNPhi8TSo9rW8VcpNASAN6Fj7wgWgbsRiwmMg+/OZWKPp9Xw1/NQn2TELqM3+ebspnqzgzUP3kxSbMg39rF1/HSMTgDKzf3hftBlAfzHQ+/cbuXNQXXbZwExOmbOATy86DrkPZ4UVK1ZQtV/USQSAa8+14c4ANi+etO04QUO97iBpN87erVatGgwZMgQmTpzouR2rADh37lzdkGJ28tq1a7Bo0SI4deqUshvIN998Iyr8ppTjAtCUMFtXCT68H/3fGKg5o720RhgFYL5A/z/0SoSGSWu3UrBEBDopA4joUx8iAOgNfqQeXGvabhNCWkzZrjQvMLX/Z1M5z8B7gnoA1D7kPCB0Aaj/lUELQNYvHASjTAAen3UISt0sBgsXLmRtGtf5BIBrBACwRfEV1BlAXLYFs2q4pIs6Q2jVEDAuA6M3eYSsmYj/hpM/fvrpJ0iTJg1XzM2+2AWg2RE3ub7Vq1fD6/3fhIaLu0mrWQ1AGtSxNMQFoPdo8bwHqAWfXi1GEOgPfWr8kf9vFwQS/JF20SKQFYI0AOQBoVMBKDP7h/GUBUAs+5v7/ieG4Xm3w/KyfP0p5+7/fBc0zdoIcOtQMw8CwNUCANiy+ArqZWBoZ+ouW7YMcIKH7EkgOPNY70AY4v7AOESNM42deLgAdGKvMbQZf4uq3aAutN7CtoUcqSJd0F2/tQ3LTb+lld/CdE6QikCHZgAxTKwApEGfOvwsAKSFH5av3WXODgDU4k8dB5EQNII/FgzKxB+2Q+YQ8LMAQNbvPwTjnuFboVe912HEiBGsl3OdTwC4UgAAWzEAsHfv3rrt3rp1K+CSK23btoWcOXMqkz4wW0izDEzatGnh6tWrUpaB4QqyxRe7ALS4A2RXj/tH4pY4HXYNhMA08fsM06COpV0uAL1Hy8phYFbwae+CBoA88FPXZyUCm38dP+wbkMJ7P7IgEEvxNjQsAoC+QOgCUL8PZWb/sEbaDCDL9yo59/euu2Hc/ybD66+/buRyw9cQAK4QAMA2DAD01mBvQ8B4vsyFoA0H0AEXugB0QCfxNDE2NhZSBaWCdqs6QMYCGXmK8nmtTAQ6NQOIATMTgLzg0+tgbwhkgZ+CKx9L6sXFJmyvtvKd2tKeUb2CCf7Iv/lCoAI7yncDSXlaCMoAoPq+0mZj29aNNdhOzQA6GYALmu2EudMXQLNmzVi7i+t8AsA/BQCwrWQAareCw1m5OJkEX4Hi3QoOgxgZGQnLly9XlqR58OCB7pZvOHQ9a9YsrpibfbELQLMjbkF9ufPnhiqfV4VclXJLq92xAMSIOHQYOPQW3XtHPJ2uBSAr/FjwR9ppBgK18FPHSDQCSdm3jz3g6Qqqa1MEJpV26szxmX/eQyb+sG0yh4BlAlBm9g/j8n3FdbBn5z4oX748bxcyXU8AuPzf1tyzgNuV+Iv6HUBvjfSVAcRrcGs23DVk8eLFyo4gOPLVqVMnJTuYOTP7upGkHZcuXVL2Fz537pwy3OztcPcCZnq83JPNikD5KuUh+2s5oUjzItKqdAGoH1rRGUDte38ysn7qOyEAFA0/rEOd+VPXGRgUCH++WUPas+oLf6RSfwjE81izgdf2xC//EpSeb4cRb4HRw5/2XB4MugDUj7xMAEaGRsO04NVw584dyJ49u7TPhF7BBIDLBACwvQAAmnrzqso6dOigZP+6d+8OuLUqbjuXMmVK3eYULlzYqmYaqtfNABoKm7Mueumll+BmuVtQulsZaQ2XCUBstFOHgXkB6G+ih2wARoXHQu7gLMzPja8hX3/4U1cmEoI08FPXLRKBBH/q8kVDkAaAPCCUCUCZ2T+8Z6dmAO9fDIH5L26DiPBI0ycwEAAuEQDAjg4GYJYsWZR1CdevX8/8PWj3C1wA2r2HBLSvb9++sDN2F1QeVEVAafpFuADUjwsrAP2BT68W0QhE9GkPWgT6g58v/OG/YfZPfUSFRXv+c3W/OszPb+OJWxJdw7q+nigE6gGQNEwUBI0AkAWELgD1Hz+ZGcCre+/C9uHn4Prlm8zPPu8FBICL/20N6Ti2gnvyOAo6ORiAuHsJ/gz9/PPPeUNqu+tdANquS8Q3CN+LWHhoEdQcL2//VReA3vvNHwKNoE9dmygA6sGP1EMDQNH4w7rVAMT/jo1KeAdn7eC6SYLedPLWRH8XG530nR0ZCFTw6mWCiC/8qRvLA0ER+POHQacCUGb2D2MmE4Cn/7oGdxemgt27d4v/weCnRALA3wQA8GUHA7B58+YQFBRk+k4sZnS4C0AzomxxHfPmzYOPpn4EjWY3ltoSmQh06hAwBlwLQF7waTuRF4C+4KeuyxsCaeCH5Xh750/Bkybzp4c/LQDxv7V7FKdIlXQtFy0CWQGI9dBkAr0hkBaAJNZGICgDgOq+z9dB7rtNMoeAnQzAvd+dhUI3Kin72Jp9EAD+epY/A/jKc/yTQMy+f1LfwYMHoV69ejB79mxlUklyOlwAJqfe9HIvuKF2szbNoP3mjlLv1rEAxKhInAl8a8E5qXHHwo0gkBZ+pPF6AJSFP5kAxLJlIlANQVb8qR8UFgjKBmDe2jmTPMMBedIJe66dCkCZ2T8M7t/Dj0KHcq/r7pkrLPheCiIAXCAAgF0dDMAxY8Yoy7+sWrUKGjRoAJUqVdKdVYyzgEeNGiW7W4SW7wJQaDjtWdi9e/eUGWRddneDoIzy1glzARjf/3H/PUnyIPz39w2pDwcLAFnhp264GoEi8KdgSSf7pwdA9fAvaZORDKBRAOJ1tJlAPPfmoUfC+twXBmXjD29CD4DamzMKQpn4wzbKzADKBuCyV/6B8e99AV27dhX2LNEWRAA4XwAAuzkYgLjlG83hLgNDEyX3HEsigFvn1JhWC3KUyyGtfpkAxEbbeRhYD33qQNsBgDzwI/cSGRIHhepmpX6GfA37suAPzxUJQDMQeHl7PACDMlCHy++JehCUDUAa/PFg0AWg927/sfoG2LR2C1StWtXvsyH6BALAeWf4h4C7l3TuEPCWLYknkvmKM2YInXS4GUAn9RZHW+vUqQOBL6WEYq2Lc5Ti+9JnCYD+wKeNlGwAYn3esoAi4GcEgEbxh3VpJ3/QAhDPo3kPkAeAeK2/TCDBH4mbSAQqqFStJWhHALKA0AWg/vdq2P1I+L7aWmXnCZ6FjI1+4RMAzjnTinsW8OslV3IvBG30PtzrvEfABeAz8nT07NkTDqY7BBXfrST1jmUi0MoMICv49IIsG4FqAIpEH94LZv7Uh78soD/8YVm0Q7+kXpoMIAsAZSFQiz9ZCMRy02SiG57i+dAbyQD6q089XCwTgDKHf/EeZQ4B3zh4Hzb1O6vsamHFQQD4swAA9nQBaEUX+q3TBaDfECWPEyZOnAizd8yGWp+zr6XGEoHkAkAR4NPGTTYAIx9HQWwMS2/RnavFH7nKGwJ58Idl02b/8FztO4BmAhDr0mYCveFPHWmR2UCyQ0vazHIgKAN/2qcusHkJugfRwFlOBuCJZVfgyZ8ZYevWxEsbGQiDoUsIAGee5s8A9i7lZgANdYLki1wASg6wXYpfsmQJDPhkIDT9Ve6G4o4FIE7e2HpGanfJBCDiDw+RAPQGP3WQtAiUgT/lvlTr/6nr5wUglmVkRrC6DQSBNPgj14lAoN72fKIhKBuAgTV09ifPklHY51AmAGVm/zAAO746BeUj6sPMmTOFxYOlIALAHwUA8C2HAzAyMlLZDg5nA+OQfExM0t+0cRLIrFmzWEJs+bkuAC3vAnMacPToUahduzZ02NUJAlLI2YsU78RJAAx4HJIo+LEHr0vvDNEIJPBTN1wEAmnwR+okCKTBH17jbegX/00v++cNgHr4w3P13gFUytBZFFoEALEMRCALAEVA0Nf+zKIgaAkAtZ9CDhA6GYBrBxyBHvXfgeHDh0v/XtKrgABwhgAA9nEwAC9dugRNmzaFc+fOQZyPD507C9iSx9StlCYC+BtMxowZodXyNpCpcCaaSwydIxOA2CCe9wC14NO7QdkIFAVAPfiR++EFIAv+lDoDAArWotsv2Aj+nADAc+sfJpqYwfLhMZIN9IU/bd1GMSgbf8ovA3oZQH/BYwChkwE4v+kOmPPdfGjRooW/iEj5dwLA70+1grQcW8GFPY6Cvs87dwi4Q4cOSvave/fu0KtXLyhQoACkTJlSN+aFC8tdMF10R7sZQNERtXF5uJRA+i4ZoGjLYtJaaScA0oBPGwi7A9AX/NT3YgSBzPAjFT5NKPtDoC/8YVEs2T88X1QGEMsyOgyM8FMfLIs3a589Wgiy4E9dBysEZQPQEP70vrm8gFAm/rAZMoeAIx5HwXeV1sB///0HuISXFQcB4HcCAPg/BwMwS5YsUK1aNVi/fr0V3SC1TheAUsNrr8Lffvtt2Bm9C6oMkbumlEwE+ssAGkFfIjjZcBiYFn1JMMswIYQXf6Rubwg0ij8sl+X9PzyfdQjYKAC1+CMxkI1AowAk7aOBoGz8YVuEAVD94Ksw6GQAXtl1B/aMvAqXL1+27IcIAeA0AQB818EAzJQpE/Tt2xc+90NTpAAAIABJREFU//xzy/pCVsUuAGVF1oblzpgxAybOmQgNfmwktXVmApAXfHqBsEsW0Cj8yD3RZAENww8r8fIqqR4C7QBABZNe3gNkRaA3/MlGIC/+aDOCjgWg6gZvlCoq7XtOZvYPG/3PzHOQ/VRJWLZsmbR78FcwAeC3J/mHgAeUdu4QcPPmzSEoKAhWrFjhL2SO+3cXgI7rMuMN3r9/P9RvXB867XgZ8IVVWYdMAOZPEQjprstdF0s2ADHuvt4F5IWful99IVAG/kjdagTy4E9BG8MMYDzfWwZQFAD94U8EArEMvSFhkQAk7dTLCMoGoJTsn+YL7cnzSRe9fxgXK+RrTzYA1w06Aq/W6A0fffSRkPYaKYQAcIoAAA50MAAPHjwI9erVg9mzZ0OnTp2MhNK217gAtG3XiG9YRESEMhGkzYqXIGNBcUstaFsqGoCIPvWRXAEoEn4kXnoA5IIfFszwu0ORBtn9Psje3v3zhT/8N9Z3AP0BEP/d37uAtPiTgUAZ+FN3DoGgbPxhnbIBqIc/7YPIg0HZAMQJILOn/QItW7b0+/mRdQIB4NcnX+SeBDK49CrH7gQyZswYZfmXVatWAW71VqlSJd2dWTCpMmrUKFndIaVcF4BSwmrfQqtUqQIZX8sERZrLGx7hBaAWfNpoygagAgXJ7wKqM4Ay4KeOmRqBZuJPQVo4QInm3hHoC39GAYjXic4Cnl2dMNkjhf4EQK8fep53AkmhqdKb951SrKXO2nyCq7cDAHlAKBOAZALIrVu3IFeuXIIjT18cAeCXJ/gBOKSMcwGYIgXdIuvuMjD0z5Z7pkUR6NOnD+yK3Q1V3pM3EYQVgP7Apxcq2QiUDcC4+xFwbfMtU54CAkAr8Ke+QT0I2g2A2iygGn7qezEbgbExcZA6E0Pq1eCTlb964uV8UmdPbbAk75fJxh/WTJMB9HdjvjKEMgF4Zfcd2D3iCly5csVfE6X+OwHgZAEAHOpgAG7ZsoU6zpghdNLhZgCd1FsC2vrDDz/AxDmfQcOZ1k0EMQI+7a07GYCIPzzMAmDE4zjgfvWJ0R6Y+fN2qCFodPgXy/Y2BIz/ZjQDSADoDX5WIBDxpz5kQlALQFKvSAjKBqAI/Ok9u2oQygQgTgDJdvI5Ze05Kw8CwM+P82cAh5V1bgbQyj6QXbcLQNkRtln5J06cgEpVK8HLO1/1uSMDb7O1WUAR6FO3STYAsS6RWUCCPm1cZSMQ8UcOwwhkxJ+CMx8AJO0pXD+zz8fM2+QPcpEsAF7YlHiHGG+NZM0CYjmsw8Fa/HlAJiEb6A1/ifDJmRGUjT9sqywAkjh8eu8J79ejz+tX9T0Mb7UYAEOGDJFaj7/CCQA/O/4ipOFYCDr8cRSMcAHoL9yW/LsLQEvCbl2luJVN9lzZoeY3tSBXJXnv+kzJK/dLEiMoG4EiAOgNfuonQAYC1fBT18WMQEn4wzbFRMbjtFgT/V1EfAHQF/6wTF8ZQAX3muVg/l37ONGHMjCI7sZlItAb/mQhkAaAnroNQjA5APCbh2FJvsAfarK0Rr/hsc9/rPY3bN24HfB9bSsPAsCJAgD4QTIBIO4BfOfOHcAJlXpHoUKFrOwy5rpdADKHzPkXvPzyy/BvvnNQoU+wsJvJmeZukrI+yppWWPl6BckGoAIFg5NBaOBH7kk0AL3hj9RHjUA6AyXqGprMnxp/2n5VY1A2ALXo07bFagT6A6BICLLgTx0n1qFh2QCUnf3De9cDoPbZMQrCW8cewB899sPDe48gMDDx6gdSv0x1CicAHH+MPwP4YTlnDwHjEmojR46ErVu3Am6rqnfgJJDo6Gizu4mrPheAXOFz5sXfffcdTF4wGRrMMP4eoB74tNF4FgHIAj91vEQg0B/81PX5RaBE/PkCIGljZChAyRe9DxEbzQCe/uuRUgXNMpi0AMTyRGcCafEnCoFGAeipnyIjKBt/2BbZAKTBn95PBVoQ7p91DjIdLWaLRYcJAMcIAOBoBwPw0KFDULt2bWX/30aNGil9ExwcDHny5IEDBw7A7du3oWHDhoD7AP/888+OQoELQEd1l5jGGn0PkAZ96hbKBiDWJTsLSJsBNAo/Ei9eALLgD+v0CUAD+MMyebN/6mcHAejtQBj6A+DZtb7f46MBINZPi0AjAMTy9d4JZMWfOk5GJojw4k/bT96ygrIBKBt/eJ9GAaiOkS8M2uX9P2wvAeCnAgD4sYMB2LFjR1i9ejVgFrB06dKAy8J88sknMHr0aAgLC1Pe1Vy8eDHs3bsXihQpIuaHtEmluAA0KdB2qsbzHuDXtSBXZe/vAbKCT+8eZSNQNgDxnnwhkBd+6pgZRSAr/kidugiUjD+sm7z75+sz4QuANJ8lmjpoEEgLQGyTCATy4I/EhQWBovGXCKOarKALQP0nl4DQTu//qQE4+mhL7kkgY8qvduxC0Llz51Yyf4sWLVI6EAH48ccfK3+Unw+xsVC5cmUoU6YMLFiwgObryTbnuAC0TVeY25D2ndvDpXyXocLbCe8BigCf9i5kAxDrk41APQCKhB+JGSsAjcJP3UeJEGgT/GH7nAhAXgSKwF8igFHMFJYJQA9Is6eWvvMH1iU7Aygi++frW/760Qfwy2v74NG9x5a//6cG4CgBABzrYACmSZMG3nvvPZgwYYLSfalTp4YBAwbA5MmTPd05aNAgWLhwIeDi3U46XAA6qbcEthXfA/x64URoN6eywFKTFpWcACgDfdqI0SJQBP5I3QoCDeIPy6Ad+sVzaTJzvPijrYcmA4hlmZEFTJlGzsfQVzbQDPyRu0pTOQekyJNOzk2agD9suGwA7vzxX0hxuACs/muttDixFEyGgD8UAMDxDgYgzuxt1aoVTJ8+XQkfvuuH28Gp12ns27cvzJ8/Hx4/TryaAEu8rTjXBaAVUbdBnSdPnoSKVYLhnX+aQao0cmebyUag7AwghD6BmD3m/WbnC4Ei4Ucew6gnACkNTtgWjT9skwgAikQgCwCxXtahYPVWfUEStnzzhkCzAIj4Ux8yICg7+2cGAH/tdRB6tx6kZJvscBAAjjjCPwT8WQXnDgG3aNFCmfm7ceNGpVu6du2q4A//u2bNmoA/S+vUqQPFixdX9gx20uEC0Em9JbCt+B5goWIFodpHBaB4I3nrAWKTZQMQ65CCwNDEaxmahUBvAJSFP/JYsSKQBX+0ILMjALFNshCoxh/pBxkIxLLVEDQLf1ivFoDkPkVCUDYAZWf/IkKj4Ysq6+DYkeNQsmRJgd/0xotSAzA1x0LQuLexkwE4depUGDx4sLI1X968eeHw4cMK/BCF2bJlg/v37yvvAS5ZsgTat29vPOAWXOkC0IKg26VKfG9hy38roMm4clKb5DgAauBHgmMWALE+NQJlwA/rwMyf9mBBIAsAaYZ+SVvslgGUBUA9/JmFQLMA6A1/6ueOF4Ky8YdtlQ3Ak2tvwL6vbsO50xekfhezFE4AOPxIS+AF4CQHZwCjoqLg3r17kDVrVggKClJCuHPnThg/fjycP39eGRLu37+/MkzstMMFoNN6TGB7N2zYAJ26tYc3tzeEgBQcL4FRtEk2AoVkAL3AT317ZiGQANBM/Knv0x8EWfCH5dICUBT+aOukfQ9QNAJ94U82Aos1yUrxiRVzCg0AeTEoG4Cy8Yf3v2LoUWhUpGOiiQViesB4KQSA7x/mB+AXwc4dAjYeQftf6QLQ/n0krYX4m022nFmh3ewqkKeC/nZcoiqXDUBsp2EEUsCPxMEsAEbfj4TL2++JCn+icvQyf3oVeUOgLPxhG8wGINZJi0DWYWAsW/s+IA381H0hejg4X+WElwzTZIvPZsg6WPFnFIJOByDO/v6mxkb4a9lqqFevnqzuYC6XAPA9AQD8ygUgc/zNuMAFoBlRtnEdXbp0gUs5DkKdwaWkt1I2ApkByAA/dXBkIxDxRw7RCKTFH6lfi0BW/GE5tNk/uwMQ28eDQFb8kT4QhUA1/tTPswwI8uCPBYKy8YdtkZ0BvLz/HiztcwRu37qr7DZhl4MAcLAAAH7tAtAu3ZqoHS4Abdkt5jUKF64cNn4wdFlRU3qltgCgQfSZBUA1/kQjkBV/egiUCUCR2T8WeNJmAHkAaBR/IhHoDYBYh2gEigIguX9v7wnKBqBs/OH9/T3pJBQNrQlz586V/h3MUgEB4IBD/EPA31Z0h4BZYm/WuS4AzYq0TevBGUw5c+WENzc1gkz55K3ThbcvG4BYh9csoAD4yUSgHvzU9fFmAo3iT41AmfjDepwAQCMIxAxoYGr+d2x5MoG+8Ef6WBQCRePPW0ZQNv7MyP5hHTOa74Qp46dDp06dbPVTggCwvwAATnUBaKu+JY1xAWjLbjG3UbjNTWDDu1Cpe1HpFctGYBIACoafDAT6wx/WyQNAXvzF4yxOufWgDGyQsWr4F9vKUreMLKC2fqsQSIM/9XPNC0GZAFRnBJMDAO9dCoXpTbfCnTt3IFOmTNK/f1kqIAB891AL7lnA0yqucexWcCwxc9q5LgCd1mMS2vvtt9/ClIWToMP8qhJKT1ykbACmjYuDgBu3ABdvln3wvgtIAz/eLKAI/KkBSNpDA0EWgMXXIbbHWOpnASC20te7gN7qFQFABeEMi0Wz4o/0gFEEmoE/T/aidikIe7osh9gnJ740M4Z/t00/C0FHi8CqVatk3AJXmQSA7xzkB+D0Si4AuTpD0sUuACUF1knF4v6FBQoUgF6bGjp+GFgB4L/mraVlFIGs+CPPE0smUBb+1M+2LwiyAEw0/rCNLPWLAqC/Os1EoFH8qfuXFYJmATCgdtJJa6IxKBuAuBj/zJa7YNKob6Bbt262+5FBAPi2AAD+4ALQdv2LDXIBaMtuMb9RLVu2hCcVLkP1t0tIr1xGFhDhpz7MQqARABrFHwsCzcCfr2ygPwhpHzKnAVCbBWS5XzMQKAJ/rNlAs/Cn/ODSASBprygIygbgzRMPYd7L/wD+Ap4+PUNaV/o3dHwFagAGcewEEvk4CpwEwF69ehmKcEBAAMyaNcvQtVZd5ALQqsjbrF7cyHro2EHQdWUtwAdZ5iESgFr4kXabBUAl00S5TzAv/NR94isTKAp/WB9594/meVBnA1lAFF8PTQ3s57C0g/Wxx2FglvJJ60UBEMvTGw4WiT9aBNoFf+onhAeCsvGH7Vw/4SQUeVIdfvnlF/YH24QrCAB7H2gBvACcWdk5Q8ApUqTQjS7+XMSsrfYgf4//GxMTY0LPiKvCBaC4WDq6pJCQEMidOzd0+q0a5CqdWeq98ALQG/qSfDBNGgqmAaBI/JH71EOgVfhTxz7QwPrCTgNgTBRAYCrjHxOZCJQBQH8QNAuAvjJ/3nrDCARlAxAXf/6/eltg/k+/QosWLYw/SBKvJAB8UwAAZzkIgJcuXUoUVdznd+DAgbB7927lf3GxbvxZiZnbrVu3Ar5DX6tWLfj666+hWLFiEntEfNEuAMXH1LElvvbaa3A23V6oP6K09HswgkBa+JHG2yELKAN+3gBoB/xh2xBH5KCZsCALf0pbIpP+xu7t4abJAKrvDcuxGwJl4s8bAs3CH9ZvBICk3bQQlI0/bM/5nbdhzeBzcO3aNVst/qz+bBAA9jrwIgRlMP7bTmRIFPxUeZVjZwF/9tlnCu4OHToEefPmTfL1gX1YqVIleP/992HYsGHSf3aKrMAFoMhoOrys1atXQ7c3X4WeWxpAikD7DAOzwk/dDVYiUCb+tAi0I/7U/eALgnYBoAIMncdeiz71ffEAUAGkgPUBSXuK1DP3PTIyQcQsAPLgT91n/iBoBgD/Gn4UaudpA1OmTLHtTw0CwJ4H2nAD8OfKKxwLwOeee07J0k6dOtVrX/Xr1w/Wrl0LZ8+etW1/6jXMBaCjuktuY6OjoyFfvnzQ6KsSUKh2TrmVUSwMzQM/KxBIhoLNgJ/6/s6tE7tnMMt7f9qHxBeWvGUF7QhAmvsg98ODQFEAzF81tdKcVGnN3UosS5N80r8nSAWiAOgvIygbgFHhMfB19Q2w6e8tUL16ddPix1oRAeAb+9tyA3B2lT8dC8C0adMCAm/y5MleQ4jZv2nTpkFYWBhrmC093wWgpeG3X+X4jsPm6yug2aTy0hvnbRhYFPw8PzhMehcw7kEkRO6+JT1u6goiQ6I9/3ll5yPuumXjj7uBjAWwDAHHJoSSqRYeAGJFvAgk+CONNguBmctm8cQpIK/cXYRE40/bwSQrKBt/WO+xv67B4W8fwenTp6VPuGN6kDUnEwD2+Kc9NwDnVl3mWABiBhAnfxw7dgzSpEmTJKRPnjyB8uXLA04ecTOAPE+ce63lETh8+DBUr1UN+uxsAmkyGX/vg+ZGtAAUDT91G8wYCkYA4mEWAtX4I/fKg0Ae/GH9LFkz0l49oPlaZJnmuVKf4w2AMfFdleQI0J8A6LdaqxCoxZ9ZCFTjj9QpE4GyAUjuYWKY/FmcC7rvh16t+8Pw4cP9PldWnpAAwA4CALjUsQCcNGkSfPDBB8p7fqNHj4a6detC9uzZ4e7du7Bt2zYYM2YM4M/NiRMnuu8AWvnAunWLiQDOaErXLAQqvy53RlO2QID/ZUoLMuHn+eEkMQtI4KeOvmwE6uGPF4E8ADSCPwWNDJM0jMAwMoR+EojnWTGAQLMB6A1+6mdQZiZQD4BYtwwEmoU/bP//RcQqIXwcy/7c0Hz73jkfAjNabocrV65Arly5aC6x7BwCwO77OnIDcF61JY4FIM4Cfuutt+Dnn3/2ZGwx24d/jwdmB3v27AkzZ860dUZX9xfeOL2FbSx75NyK7RCB2bNnw8jPhkpdExDxh8eQjElT6rJiICMLqIc/bL9MAPrCn1EE8uBPgZxq5i9L/7EAEMuNZUzQxDGeryDGAADxOrMQSIM/0gcyEOgNf+p+FwVBK/Cnvg/REFw//iQUeFwZFi1axPIxseRcAsDX9r3MDcBfqv3mWACS4G/ZsgXmzJkDR44cUe4lc+bMEBwcDD169IAGDRpY0ke8lbrvAPJGMBlej+805M+fH1r8UBYKVM0u9A4J/NSFOhGB3uCnvi8ZCKTBHysCefFnFICs+EvuAFQQ6WdWMAv+ZCCQBn+kXhEINAuAJPPn7ctOBASjImLg29qb4M8lK6Fhw4ZCv1dlFEYA2G3vKxCUwcDink8bFRkSCfOr/+p4AMqIsdVlugC0ugdsWv/gwYPh73PLoMU3wUJaqAc/KxAoIgtIgz9ybyIRyII/FgTyAtCs7J/dAagAjvO1WV8ANII/kQhkwZ/6s20UgmbhD9vqD4DkfnggeGjJZTg9KwKOHz/uiKFCAsCue1/lBuCC6otcAAr5SSq2EBeAYuOZbEr7999/oXTZ0tB7ywuQIZfxYVp/8CMBc0IWkAV+ojOBRvCnboO3ySG8+DOa/VOuY3j/j9wL6xAwXuekYWBvWUAe/IlAoFH88WQDzQIgLf7UnydWCOKbVj+32wPD3/4Y/ve//zni5wQBYJc93bgBuLDGfEcDEJdIw3UAFy5cCKdOnQIcJcO/wwMXiJ4xYwYMGjQISpYs6Yi+9Xwu3XcAHdVfpja2VatW8KDEOag9sBRzvbTwc0oW0Cj+RGQCefHnLRtoJf6SKwBFZAHVCBQBP/VnzMg7gbz4U9dPmw00C3/YNiMAZMXglYP3YNHrB+DGtZuQMWNG5u9TKy4gAHx192vcAFxU8xfHAhDX9mvWrBns3LkTcuTIAalSpYIbN2549v3F9wHz5MkDQ4YMgXHjxlnRVYbrdDOAhkOX/C/EnUG6vPEK9NrSAAKD6N6MNwI/Ekm7ZgF58ceDQFH40yJQBP4UxJk0+YO03+4ZQFEAxHIK1TGeeff17cSKQJEAxHb5Q6CT8EcLweWDjkD9wm1tvfOH9pkhAHxld3duAP5ac55jAThq1CgYP3484JZwQ4cOhU8//RTGjh3rASDGDXcKwWVh9u3b5ygYuAB0VHeZ21ic5v5c6RLw3JuZoXynQj4r54GfXbOAouBnFICi8adGoAgAGsWf0ewfXucEAIpAYMGaqSFA4naMtAgUjT/yDPpCoFkA5M38eftC1A4PP7j2BKY13gLHjx4HXFTYKQcB4Mu73uAG4G+1ZjsWgDisW6BAAdi4caPSdQhAXPsvJiZhiQEc1l+yZAncumXuRgC8z5ILQN4IJvPrce2jD8a/D91W10myP7Ao9FkBQCUT4WNtQNH4Y0WgLPxhO6JC499dubwzlOvpTc4AVJ4PuqS3bgyNTgZB+KkPKxEoC3+J7k+zg4hZ+MM2yAIguT8CwTWfnoC8IeVg6e/LuD5vZl+cAMBekIpjFnBUSCT8VusnxwIQd//AHbJwQWhvABwxYgR88803EB4ebnY3cdXnApArfMn/4sjISChcrCBUH1kISraI3/dTBvzsgkBZ8FPfn7+ZwWbgT90eIxDkwR/WbdYEEKzLyCQQswGohZ/VCDQDf+Qe1dlAswAoG3/k3kLuRsCEOhtg1449yk4STjoIADvvfJMbgL/XnuVYAObMmRPatGkDP/30k1cAdu7cGXbv3q0s8O2kwwWgk3rLorZOmTIFPpv5KfRfUde05QvMeh9QnQU0A3+kC70hUCb+sG6S/dN7lFggyANAI/jD9hoZ/rUKgFgvbRbQF/4UiEocCsbytcPBZuJP/Rym6GgekMwC4KrJJyHmTG7YtHarRd/exqslAOy0ow83ABfXmeFYACL+EHe4MgYu/qwdAr569SqUKlUK2rVrB/PnzzcecAuudAFoQdCdVmVoaCgUKJQf2k8pDc/VM2f7IrMAqPTFP6ct6RItAq3EHwkADQJ58Gc0+2cFAGVnAf3Bz6wsoBqBVuEv8IX4bSfjsmaW/lk0C3/hj6NgQu2NsGrFWqhfv770+xJdAQFgxx1vcwNwSZ0fHAvArVu3QqNGjaBy5crKJB6cHDlhwgR4/Pgx7Nq1C/r376/gEP9/lSpVRHeD1PJcAEoNb/IpHGc9zVs9HXourGbaTZmCwPCI+Ps5dtG0+1JXRBBoB/yp2+ULgi4A6R8VvSwgC/zMRqDVACT3KxOCZgFw4/SzcHtLWti9Y59pIyf0T6b/MwkAO2xHACZ+N9X/1QlnRIVEwNK6zgUg3sn3338PAwYMSDTxg9xhYGAgfPfdd9C7d2+WsNjiXBeAtugG+zfi/v37Shawx9wqUKhyNlMaLB2ABH8WAjDuXjiEHrgrPZ6+hn59Va6FoFX4wzaaPQSMdfJMBMHrtQA0ij+lLZKHgrOXzAQBmYxv+WX0ISbZP+31MhBoFv6iwmPgs7qbYd5PC6F169ZGQ2PpdQSA7bf/jxuAy+p+59gMIOmEkydPKhDcs2cP3Lt3DzJlygQ1atRQFvYuW7aspX1ltHIXgEYj9wxeh2sgrTn8K3T90bx3daQgUA0/dT9akAVEAOIhE4FG8UdCo0agC0D2Dz4ikAd+6hplIRDxRw4zEegNf6QtIhFoFv6w7TvnXYATiyLg+JGTjsz+4T0QALbb9i43AJfXm+Z4ALJ/8u1/hQtA+/eRbVqIq58XLV4Eev9WE/KXz2JKu4QD0Bv+yN2YiECCP1K1DATy4k/dyRe28C0bg2UZnQCC11qRAVQybxzLwRSqGQQpUgUI/ayIRKAafomgaUIm0B/+1O0RAUGzAIjZvy8ab4Opk7+HV199VWjfm1kYAeBLWwdwA/CP+t86FoBz586FdOnSQadOnbyG//Dhw4B/evToYWYXcdflApA7hM9WAcOGDYMVuxdAj3nmvewqBIH+4GdyJlCLPxkIFIm/eLwlLHx6eZex9a6sACC23ehSMEYAiOjTHnZEoDf8mZEJZMGfiGygWfjDtm758RxcWhEIBw4cgBQpOH57sPhHCwFg262DuAH4Z/1vHAtA7MOAgABo27atMssXMag99BaHtrj7qKp3AUgVJvckEgF896FI8cLQeVp5KFEnp2mB4UIgC/7IHUnMBHrDn2gEygSguuNpMciDP6zPaAbQLADqwY/EyW4A9Ic/mQg0gj/182YkG2gWAMMeRcGk+pvh1/mLoWXLlqZ9P8qoiACwzZbB3ABc0eBrRwMwX758cP36dQgODoa//voL8ufPnyjkLgBlPIFumbaMAO6J+P2ir6HP8hqmvd9iGIBG8CcRgf7wp+5wniFhs/DHAsHkCEBf6LNrFpAWf7IQyAtABfQMy8WYhT9s15rJpyHyaG7YtGmTad+Nsn5IEAC23vI+NwD/avCFowH4ySefQPbs2WHw4MGQI0cOWL58OVSvXt0TeheAsp5Ct1zbReDJkyfKnpYNPswH5VvF7w5ixsGEQB74qW9GYCaQBX882UDR+MO2qId/afpaLyvoVADi/arfA2RBnzpWorOASrsYZwaz4k80AkXgTx1TGgiaBcBHt8JhUqPNsOnvzVCzZk2aj4mtzyEAbLV5KDcAVzac7HgAjh49GtatWwcvv/wy4A5Zs2bNgi5duih96ALQ1o+y2zjREZgxYwaMnjQC+q2tA4GpzHnPhRqAovCHQRMEQCP4M4pA0QBkxZ/2WSMY5AEgz/CvkjFKeH3R0EehcG0xy6OIRiAtAI3CTx0s3tnBovFH2uYLgWbhD9uybNRxyPm4PCxdutTQM2a3ixIAOEwAAD9PFgDEPjp16pSytM+FCxfgo48+UvDnAtBuT6/bHqkRiI6OVtY+KvNGGqjetYjUutSF+0SgSPgJzALy4I8VgaLxZyT7p/cwRIfHev76yp6ni28zPDVmA7BQrVSJWocvgYs4RAMQ2+QPgSLwR+7dKAJl4c8XAs3E352LIfBl861w6MBhKF26tIhHxfIyCABbbhoBqTKkMdyeqJBwWN3os2QDQAwEvgvfoUMH2LZtmzI7uEiRIvDFF1/oLhRtOHAmXOhOAjEhyMm1isWLF0Offr1g4OZ6EJQ2pSm36RWAsvBH7spgJlAE/mgRaFf8YfvVAPT2oPiCoSwAaqHnrW2iAIjlm4lAkfgc4qiDAAAgAElEQVQzikDZ+FP3mTobaCYAF/Y/DME5G8PMmTNN+R40oxICwBYbR3IDcM0LE5IVAJXvtOhoePvtt+Hnn3+GlClTKvjDP046XAA6qbds1ta4uDioVasWZKj5EBoPLmla6xIhUDb81HfFiECR+FM3w9vkEKcD0BcMRQCQFnuyEWgWAGXgjxWBZuJPnQ00E38X99+DWa/tV4YGCxYsaNr3oOyKEgD4oQAAjncsAIsWLapM/sCt4PSOyZMnw4gRI5R/cgEo+6l0y7dVBPbt2wf1G9aFfmvqQbZC6U1rm4JAM/HHmAmUhT9v2UA74482A+jr4YmLieN6tvCXFd5DVBZQBgDx3tRDwTLxx4JAKwCI7VuRJTNcjEx47YC3771dHxsTB1Pb7II+XQbChx9+KKsaS8olAGy2YTQ3ANc1HkMNwGvXrsHvv/8Oq1atUlB98+ZNyJYtG9SpUwdwHVrcfk17YFtxpu6SJUuU8/PkyQMdO3ZU/g63bJN93Lp1C8LDw6Fw4cKyqxJavpsBFBrOZ7MwTIPvOL8Kus2sbFoAhgjeXYGp4X4ygbLxp0WgDPwpv82qFn5mio/mZJrhX3/lJycA4r3KQmCO0pn9hVLov/t6J9BK/JGblI3A7XPOw9G5YXDs2DFInTq10NhaXRgBYNMNH3MDcH3jT6kBiNm0SZMmQfHixaFBgwaQK1cuOHv2rLL0Cv4it3DhQmUmrud7MDQU6tatC4cOHYKmTZtC5cqVlV051qxZAxUrVoTt27dD+vTmJSes7jeW+l0AskTLPVc3Anfv3oWSJUtCq89LQOkmeaRGKZNq2Yu3zJl8nPR+fADQLPyRRj3YdktKvEXhDxuXXACI92LnLGCWohmUZyFlmkApz4S3QvUQaAf8qdsrA4KP70TAFy9sgd8XLYUWLVqYGnMzKksA4CeQKj3HJJDQcFjf+BNqAOIs6pw5c0K9evUS3SZOuGjcuDFkzJhRWZSZgPvjjz+GMWPGKNlBhCM5yN/j8i04S9c9kkbABaD7VAiJAC4L89H44dBvXR1IJekHkBp/pNF2QqDZ+MMYxD2MVELx8Mh9If1ICkluAFRiZaNhYGyPqCwggR/pO7MBqMBYtXew3fBH4iIagb8PPQJ5IoNh2bJlQj97dimMALDJ32MhJQcAo0PD4e8mo6gB6Ov+mzdvrqzFh68eVa1aVflMFyhQALCtOPSrzvThkCzu4IFbt125coX6l7devXop506YMAFy584N+N80B16DawM66XAB6KTesnFb8eVXXPw0S90QeGGQ2AkhevBTh8IOCLQSf+pYiICg3fCn4I3zHcDkCkAt/qxGoF3xJxqBOPHjx9f2wsnjp5QlQJLjkQDA8QIA+KEQAOL6eytXroSDBw8qw7tnzpyBUqVKAcIQh3y1R7t27eCPP/5QzsPNC2gOsvfvyZMnlZEt2v2cEYDuJBCaCLvnJMsIyJgQ4g9/JJBWItAu+COx4EWgC0DvH09RQ8CkBqNZQG/wU7fc7ExgynbPW/K9hhM+WA+ebCBO/Pi/trug9ysDlIWAk+tBANj47wncANzQZKSShVNPyMAhXJb3Ji9fvqyALGvWrHD16lUIDAxUMIgo7NevH0ydOjVJVwwdOlRZnw/Pe/HFF6m66tKlS8p5uN8vLu9C/pvmYncSCE2U3HOSbQT69OkDOy+shq4/VqJOuesFgxZ+6mutQGDAo8cQe+ia6f1Jhn59VWwUgi4AfXenSASyApAGfqT1ZgIwZTPV7Md0aU39PBgBIDbQKAJ3zL0Ah2eHKhM/0qQx/m6cqUEyUBkBYKP1k7gBuKnp8CQtwHf0cJYuzREVFQVNmjSBrVu3wty5c6F79+7KZQsWLIBu3bopM7DHjRuXpKixY8cCvgOI55Ft22jqe1bOcYeAn5WeNuk+cUIIroT/wqhCENw2v6FajeCPVGQmAhF/5DATgTT4UweeBYIi8YdtsMMEEBILEe8AYlkiAYjl0SCQBX7qvjcDgYnwRyo3CYFG8aeOEQsE7197Al812wZLFy9Xhh2T8+EB4DoEoHHUR4eGwaZmww1nAGNjY+H111+HX375Bd566y3A983J4QKQ7wl0AcgXP/dqnQjgWkw9+/SAfmvrQsacbL8h8+APm2IWANX4MxOBrPhjhaBIAIrAH7ZfxPt/SjkCJoFYAUCj+CN9LxOBuvgzCYEi8EeaSoNAfH5m9fgHaj/XMlnt+OHthxgBYIO1X3ADcEvz9w29A4gx7927N/z000/w2muvwZw5cxK9kydjCJh20oc2bu4kEJdDbgSeRuDVV1+Fkw93wSvTg6kyJrzwUwdeNgL18KeuX2Y2kAeA2EZf2UCR+BOV/XsWAOgtC8gLP9kA9Ik/yQgUiT/abOCuBRdhx//dhJPHT0PmzOzvHTrth0MCAL8UAMAhzADEzB/iD7daw+HbefPmKe/9qQ9Zk0CM9JU7CcRI1NxrkmUE7ty5A8+XKQlNPioKwS8V8HmPIvFHKpKFQH/4k5kN5MWfv2ygC0D6j6LMYWBR8FPfjcgsIBX81JULHg6WhT9f2cB7V5/A182fjaFfEgcCwPprvuIG4NYW7zEBUI2/V155BebPn58Ef8ovhxTLwKRNm1aZNEL7mWWZ9KH9xnAngdB/h7pnJvMI4IKeb/TuHj8UnCvpULAM+MnMBNLiTwYCReJPD4Ki8ZecM4B4b7Q/TFg+4vguoAz8icwEMuNPcCZQNv70EIjImPnaP1D3+Rfhxx9/ZOlSR59LAFhv9RRuAG5rOZAagIi/N998E2bPng2dO3dWJnDgbFxvh7sQtPHHzH0H0Hjs3CspItD51U5w+v5eePWHiol+aMrGn+hMICv+RCJQFv5IG+MeR8H90w8pepP+FFHv/ym/5QtYA5BkC+jvwPeZogGYuWh6CEwlf2sbnkygYfwJRKBZAFRDcOcvF2DX9P+UoV8z9pUV9YzyluMB4CoBAHyRHoA4Mxh37siQIQMMHDhQF3+4vh+uA4hHqGYruCpVqihbwa1evdrdCs7PQ+ACkPdT4l7vMwJkKLjxh0WhYrsCYBb81I3iHQ42ij9RCDQDgKStoiCY3AGI8eJFIKJPe8hGoFEAcuNPAALNxh82+b8rofBeoy2wfOmf0KxZs2fq254AsO6qb7kzgNtfHECdAXzjjTeUyR6+DnwvEM8jx8OHDxU0Ll68WNkRJE+ePNCpUyfA7KDI9zVxoWf8mRYREaHbvEKFCjnqGXEB6KjucmZjcauk13p2gQ/WNYCs+YwvJ2D07nkAyIs/dZuNTA6RjT8lM/Y4Sje0PBh0Aaj/tOqhT32mbABiXawIFIY/DgRagb+YmDj4pPN2qFHmRfhppm+QGP1usvN1HgD+NZUfgK37UwPQjjHZv38/jBw5UlmHMDIyfvtN7YG/EEZHR9ux+V7b5ALQUd3l3Ma+2bsnbD+yBt79rRoEppQ/1KWNlBEEisQfaQ8LAq3EnzZ+rBi0IwAV7ApaCgbLos0A+kOf2QBkQaBw/BlAoBX4w2b+9uVp+OePJ3DowFFlOPJZOzwAXPF//ABs08+xADx06BDUrl1bGYpu1KgRrFixAoKDg5Us44EDB+D27dvQsGFDwAkgmJl00uEC0Em95eC2PnnyBKpUqwiFX0gBbYZbs2UUCwJl4I8VgXYCoPrR84dBkfhT0CboHUCzAcgCP7MR6C8LKA1+6hulmB1sFf6O7bwNn3XfB7t27lF+2D+LBwFgnT+ncQNwR9t3HQvAjh07Ku8TYhYQNznAvYHxPUXcYSQsLAyGDBmiDD3v3bvXcftCuwB8Fj/ZFt3ziRMnoFqNqtDzh4pQun4uS1pBg0CZ+KNFoF3xRwPBZwWAellAo+gzG4C+soCm4I8iE2gV/h7eiYChTbfBuI8/h759+1ryPWWHSj0AXP4dPwDb/c+xAMydO7eS+Vu0aJHSLQhAfLcQ/+CBs5YrV64MZcqUUWYsO+lwAeik3koGbcUV3YeMGADD1tSFTDpLw5hxi74QaAb+/CHQDPwp2TAv7/4Z6QN1VvBZA6AI9Gljbsa7gHoINBV/fhBoBQBjY+Pgs+7/QLHsteDXX3+lHuY38pmx+zUJAJwuAIDvOBaAuN/ze++9BxMmTFC6LHXq1DBgwACYPHmypwsHDRoECxcuhFu3btm9WxO1zwWgo7rL+Y3Fd7BwI+8DlzbBO79UhRSBAZbclB4CzcSf+qa17wWaAUCR+Et0L2HxL0HfPZOwTzJPB4sc/lXQK+gdwCxFnr4TJul1VisAaAn+vCDQCvxhU5ZPOwtbf3kAhw8dEzp7lOczYNW1BIC1l/EDcGd75wIQZ/a2atUKpk+frnQFvutXqVIlWL58uadrMFOMi1U/fizme8+sPncBaFak3Xo8EcAPCa7V9PxLqaD5wOcsiYwWgFbhj9w8QaAZ+FMgJDD7pwdAvU41gkKrAeiBnrenVBIAsTozEWgp/jQItAp/p/+5C2Nf2QNbNm+DatWqWfK9ZKdKPQBc8gN3BnBnx7cdmwFs0aKFMvN348aNSvd07dpVwR/+d82aNeHkyZNQp04dKF68OOzbt89OXei3LS4A/YbIPUFGBHBmVa06NaHP7KpQslYOGVX4LZMg0Gr8kYbGbLngt82iTrACgN7a7guGZgHQL/R8BV4SAs0AYOqG+ZQ7C8iUdKceUc8aSzkr8uVhOV3YuY/vRcDw5jtgxJBPAIfz3AOAALDWYn4A7urkXABOnToVBg8eDFeuXIG8efMqi0wj/BCF2bJlg/v37yvvAS5ZsgTat2/vqEfHBeD/t3ce4FFUext/aUmA0IuBIL33clEBEblIEaUoTZrSBEEpIirlWkCKAgIWwEaTLoqi+AHiBbn0JkU6SAmETgBJgTS+539w1yXZZNvM7szkPc+TR+7NzJlzfufs5Lf/00zVXNYqrByrNGzEq3jtp/oo8GCOgFSub7RBQvYJ/+zFl7TlnK4s9JI/KXTy30PAWlRAxFAPAfRJ9pxVTCcBlEfpKYE2+bNVKdASuOnBIqoo1zVc9e1OP0xMSMb4LjtRpvAjajWnu9v7uJO3ma/5RwC/QFY3VmynVdfE2Dhsbd/XtBHAhIQEREVFIV++fAgKClLV3LJlC8aNG4eTJ0+qIeGBAweqYWKzJQqg2VrMYuWVD86P65Zg8PKHEZwz7fMe9ah2rsz35h92/usvPbL3LE8HAbTdqJcI6iWAWsqfjUFifLJnHF1cfTfxrqb5qcxMJoApxc8IAmiTP1tZ/CmBs0YeQOTvObB582bkzJn6dBbtO4w5crQL4DIRQO+/oCfGxmJrB/MKoDlay7tSUgC948a7NCIg365kjsWN4BPo8VlNZP5byjTKPs1sbPLneEHARNCJ/OklgXrJn5SXAqhPr9UqCpiW+DmWOhBRwJTy508J/OXrU/hu0jns2rVLRXKY/iFgE8BHvvnSZwHc1vFF00YArdwnKIBWbl2T1O3atWt46KGHULF1MFq+Vl73UjuTP9tD/S6B6cifIwitooEUQB0igAaPArojfoGQwLTEz7EsekYCD265igndd2D1ql/w2GOP6f7eMdsD7AK49CvfBbBTH9MLoMzzO3fuHCIjIyGBC2fJbP2IAmi2T6VFy3vw4EHUq1cPHSZWQO2nw3WrZXryFxAJdFMAtYgI6il/ZokASjnNNgwsZfY2Cuip/Mmz/BEFdEf+9IwEXoqIwYgnN2HihKno27evbu8bM2dsF8DFs3wXwM69TSuAsnXU+++/j6lTp0KCFemlpKQkUzU5BdBUzWXtwsoZi526dMCgZY/gwap5Na+sO/LnVwn0UP58lUA9BVCP4V+pr9ZzADOKAHojfv6KAnoif3pIYFxMIt5qvRUtG3fCp59+qvl7xioZ2gTw4UWzfRbA7V16mVYAhw8fjokTJ6Jw4cJ4+umn1UpgORfYWbKdDmKWPkABNEtLZZByTpgwAVOmv49XV9RDnge025rCE/nziwR6KX+O3cCTYWE95U+v6J+pBFAKq+NiEHejgL6Kn94S6I38aSmBSUl3MeXF3ch+uyzWrFmDbNmyZZA3q+fVtAvgwjm+C2DXnqYVwLCwMLUCWPb4Cw39ewN4z3Ea8g4KoCGbJeMWSsLtPXr0wIbd/4dXvnkI2XP7/oL2Rv4cW0CXeYEaCKAnEUEK4D8tqssQcIAFUEvxs5HSeijYF/nTQgLl3fLV8AM4tT2LWvFboECBjPuidaPmdgFcMNd3AezWw7QCKNInJ31MnjzZDWrmuoQCaK72yhCllQm2bdq0wambe9FvXh1kC8nidb19lT9dooEayp87EUHK3/3dx2oCqIf8aSmBWoifYwt6uzBk2ZRj+N/C62oPN674df1KtQngQ/N9F8Ad3c0rgI8++ijkOLhFixa5hmayKyiAJmuwjFLcmJgYNGnSBIkFLuCFGTW9OjNYK/nTVAJ1kr/0ooEUQGsIoNTCcTGInuLnSMyXSKDW8udtJFC2e1k84QQ2b9yKqlWrZpTXqE/1tAvgvK99jgDueOF500YAV69ejXbt2mHjxo2oXbu2T0yNdjMF0GgtwvLYCciKK/n2VbhuAjqMq+LRDv1ay58mEqiz/DmLBuotf/JMMy0AkfLqFgGUzP0wD9Bf4uerBOolf55K4LafIzF98H6sWb1WvU+Y3CNAAfyHk5wQ8/LLL6N169aoUaMGcufO7RTi888/7x5cg1xFATRIQ7AYzglERETg4Xp18a/OBdFiSDm3MOklfz5LoB8F0FbWxDX6ny9MAXToljoKYI6G945Kgw9TItz6ADm5yNMooN7y564Eqr3+nt+BJYu+UX+8mdwnYBPAunPn+xwB3Nmju2kjgHfu3EGfPn3UELDMI5WU8rhA+f/l/+M2MO73L15JAm4ROHDgABo0rIeWb5bBo91KpnuP3vLn+HCPFocEQP4QH38fq8T1kW7x9uQiveRPyqDHFjCSr9kigHbxszVMAARQ/dHL7d6qfH/JnysJPH3wJt55diumTfkEvXv39qRb81oAdgGcvcB3AezVzbQCKJG/mTNnonr16mjfvn2628C88MILpuo7jACaqrkybmE3bdqEZi2a4rmJVVGntfONov0pf7aWcEsCAyF/UsAUAmgrs5YiSAFM8ZnUKAKYSvpSfvQNKoH+lr+0JPD8yWi8++xWDB00AiNHjsy4L04fam4XwFkLfRfA3l1NK4Cy/58sGtq6dWua+//5gDmgt1IAA4qfD/eEgEzGfbb9M+gypRpqtSx6362BkD+3JdBgAugIzlcZpAA66cFeSqBL6XN8lMEEMFDi54jEtjr44mmRv+3o2f0ldYJDyuE6T945GflamwD+66tFPgvgrj5dTCuAMt9PtoGRzaCtliiAVmtRi9dn5cqV6NCpPbp/VAM1WtybExVI+XMpgQaWv5RdxRsZNKMASr2NMgzskfQZNApoBPmzoTlySuRvG7p16qP2baP8ef8HwS6AXy72XQBf7GxaAWzcuLHaCHr58uXewzTonRRAgzYMi5U2gRUrVqBT5w544dNaaNDi/khgILmlGg4OlPwJhDSGf93l444M6il/Uk695gAaQQB9Ej9bIwYoCiiPt80HNJL8XYyIwavPbEKHtj3w8UefUP7c/bCncZ1dAL9Y4rsA9n3OtAIoQ7+yJdk333yjjoKzUqIAWqk1M1Bdvv/+e3Tp1hkvflwD/3rSOBIoTWAXwUAJoI/y59iN0hNBCmAaH7g0hoA1kT4DRQGNJH/nT8dg2LPb0K5NF3zyyXTKnwZ/C2wCWEcEMHsOr3NMjIvFbhML4JgxY7Bt2zZ1dKBEA2vWrOl0GxiJNr/11ltecwrEjRTAQFDnMzUh8OOPP6JT547oM7U66j7tfGGIJg/yMJPcWTLhqctXPbxLw8s1FMD0ZJACmE6b/S2Bukif42MDEAXcWLmUKkHmTBr2WR+yOncyGq8/uw2d2j+PadM+pvz5wNLxVrsAfvaN7wL4UkfTRgAzZ3ZvUi+3gdGo4zEbEnCXwM8//4z2Hduhx6RqqNe2mLu36XqdCKAt+V0EdZK/lMAkMkgBdN6NcjT6e78+XXuZQ+Z+lECb/NmeHmgJjDh+C6+334YXuvZTk/Q550+7TmcXwJkaCGB/8wrghg0b3IbaqFEjt681woWMABqhFVgGnwhIaF5WB7cbXh5P9LwXnQhUcpS/gEignwQQcQmpEMevP68Zdj3n/0khtVoEkqNeYed1DvL+/GqPIfpBAFOKn2MZAyWBh3+PwqguOzDgpSEYO3Ys5c/jjpP+DXYBnLEMWXwYAk6SIeABHUwbAdQYq6GyowAaqjlYGG8JyByNlk+3QMOuRfDsGxUC9sfAmQD6TQT9JX9SIScCmFbbeSOGRhPANEUvvQ7rLwnUUQDTE79ARgF3rLuIMX12Y/zYDzB48GBvXxu8Lx0CdgGc/q3vAvhye9MKYJYsWfDcc89h4cKFlusvFEDLNWlgKxQbG4tp06ZBzk48duwYEhMTUbBgQZQqVUqdwylH6pQpUwZly5bFyZMncenSJRQqVOi+Qsuqq/r166v/b+/eversRcd07tw5PPjgg6hUqRIOHTpk/9WRI0fQpGljlG+YA8+/XxVZsro3d0MrYunJn+MzdBsWNqgAeiOGgRRAr2TPWSX9JYDybI0l0B3xC1QUcO2yCEx7/Q/MnjVX/WFOL7n7PpI8Hn/8cbga7tuzZ49aBJARkl0APxUBzOl1lZPiYrD7FfMKoGwB069fP7WnpNUSBdBqLRrA+ty6dUtJ3v79+5XgydL5vHnz4uzZszh48CD27duHL7/8Uklg37591b+XLVumjtdxTBMmTLDv3j916lQMGTLkvt/Pnz8fcuj2gAEDMH369FRy2KJFC2Qv9hf6Ta+JoOz+GYpzV/50E0GTyZ8rKfSHAGomemlVxqQC6Kn82arvj6HgZTNOYP6HJ7D8ux/QtGnTdN92nryPHAXwtddeQ2hoqNO8ZUPgsLCwAL5l/fdomwDW/vg7nwXw90HtTBsBbN68OWQhyKpVq/wH309PogD6CXRGeMx7772Ht99+W527KXKXckL2qVOnIAdrV6xYEYsXL0aXLl2cSpx84EQa5YDt8uXLQ/b9c0yS/+zZs53Ko1x3/fp1tGrVClGJf2Lg7NrImTdId/zeCKAUSrNooEUE0NZQd+8k6dtmMYn65i+5+1MA5Xk+RgG9FT9/CGBy8l18OeYw1i27pv4Q16lTx2X7efI+chTACxcuZBjJSw+iXQA/Wu67AA5+1rQCKNOLZHHHF198AbOd9evqQ0IBdEWIv3ebQMuWLdXL2Z1hkosXL6pDtStXrqyig7aUkJCgdl2XCJ8I4JIlS3Dt2jX1DcyWZAhZZNLZ8LHtmri4ODU8tO/4Zgz5+l/IXzS72/Xw9EJv5c/xOT6JoD/lTwrtwfw/T1laSgD9LYFeCqCv4ufYxnpEARPikzFl6H4c23lX7cVWrlw5t7qVJ+8jCmBqpP8I4PcaCOAzphVA2Qdw8+bN+PXXX1GrVi089NBDeOCBB1IFOLgPoFsfS15kVQLdunVTE2WdDes6q7PM4ZN5eyJycuC2pC1btqBBgwZK/EQAO3fujN27d6N27drq9xIZLF68OKpVq6aGmtNLMv9Qhom/W7EYL39VG2Xr5NccvRby57MIUgA9b1d/RAD9LYDyPA8lUEv5szWClhJ44+odjO71OzLfCYNs+SRfGt1Nnr6PbHMAGQG8R9gmgLWm/uCzAO55ta1pBZD7ALr7ieN1GZqADNW2bdtW7ZLev39/NGvWTH1jkoiesyRyNnPmTCxduhQdO3ZUl4wfPx6jRo2CvIRFAIsWLYoPP/wQQ4cOVb//+uuvVRh+0KBB+Oijj1zyljw+/fRTvDF8GLqPq4pHOxZ3eY8nF2gtgPJsj6KBFpQ/YaD7ELA8xB8SaNBhYD3ET2sB/PPADbz9wm40rNccc+bMQY4cnp1G4en7yCaAac0BDAkJwfDhwz15PZj6WrsATlnhuwAObWNaAXS1MMixkbkPoKm7PAvvK4FJkyZBQubR0dH2rGTIVhZmyHYNjsM3EikU8ZOJ1SKCkkQaIyIiVGRQkswBrFChAn766Sf1v3v16qX+GMhRcCKb7iYJ38uz6nUshA6jKiGzw2bN7uaR8jo95M/xGW6JIAXQ2+azpgAKjXSigHqKn2ND+BoF/N/KSEwctBcjh7+lFoR5u8GzJ+8jV6uA8+TJgxs3bnjf30x2p10AP9RAAF8zrwCarNk8Ki7nAHqEixe7Q0BW361evVoN5+7atQvbt2+HzO2Tb9AS7WvdurXK5sqVK2ouhUieCJ9t/p8M3Xz22WfqmhdffFEdwh0VFQXZj6l06dI4c+YMrl69mmZkMa0yHj9+HG3atEFw2C30nV4dOfN4vzhEb/lzWwQpgO50SefX+CMCKE82QBTQX+LnqwTKYo8FU47hu5kRKtrvyZe8tDqCu+8jDgHfT9AmgDUn/eRzBHDv661MGwH0/gVj/DspgMZvI9OX8ObNm+pb/IwZM9SegJGRkQgKuidf1atXxx9//IHz58+rfQFlG5lFixapuX+SFixYgO7du2Pnzp1qnmCJEiXUfECZF+hNkrJ07doVe49sUSuEi5TN5XE2/pS/dEXQ3/InhfHDAhB5jGWGgAMhgPJMhyhgIOTP1m89iQTGxSRi0qB9OP1HJsg53zLPV4+U1vuIAkgBTK+/SUBj7ty5am9a6UMy1UmmOMmCRfm7ZcZEATRjq5mwzDIXTzaDluidRAVt2zjIsPDHH3+spE8E8D//+Y+SQdtkb9umz3LOpwhgjx49IHN0Jk+e7DWFpKQkNc9w+mcf48WPaqBmU8/29QqUAEqF7xsW9rcAWkn+BKZVI4B/C2Agxc9TAYw8FY33+uxBkfyV1Sby8kVRz+TsfUQBTEMAJ2oQAXzD3BHAYcOGQfaklX4jSRaGJCcnq3/L9AT5OzZlyhQ9u6wueVMAdcHKTIxeK0oAABiLSURBVJ0RkC1fDh8+fJ8A/vDDD3jmmWfUxtAigCKIcoKIY5I5hLJ3oAigfANbuXIlnnrqKZ8hy16EL/brg0ZdiqHd8IrIGuT65JBAyp9jhZ86p925u26DpAC6jeq+C/08BLypTln1+L//VnlXZg3vchUF/G3FOUx5bT969eirvthly5ZNw6ennVXK9xEFMA0B/EADAXzTvAIoUxEk8CB/g9555x11YoxMXbp8+TJ+++03jB49Wk1hkrnpEg00U6IAmqm1DF7Wzz//XA3P1q1bN1VJly9frk78kInUsgdgcHCwukY2bZZv+zK0K9vByPCsbLjpmGThh0QFZDWxDB/LfEAJv2uRRDY7deqEmEzn0W9GDRQqnvaRR0aRP6l3foe/qvUiIrVA4ToPCqBrRmldobME2qTP8fFGEUApkzMJvBOXhJlvH8T/fryEObO1me/nWH9P30cUwHQEMMSHo+Bux2CviQWwXr16alTqwIEDyJUr9ZQhmSsp0xVk1Eo2jTZTogCaqbUMXlaZsC1bL8gxcLKXn2zhIquBZc7Exo0bVdhc5vTZ5vfZqiPSKJtHS5LfiwQ6pnnz5qlvYJJkE05ZVKJlun37NiTEP2/+LPSYXA11nwp3mr1RBNBR/lIWVFcZpAB63+10EEBn0peygEaRwJQCeObYXxjXdy8K5C6BpUu+U18AtU6evo9cbQMj5ZM8M9pZwDXf/wlZfBXA4eaNAIr0yWLE9IZ4X331VXz11VeQBUdmShRAM7WWwct69OhRNXl77dq1OHHihNrLT1J4eLiaJDtw4ECnRzjJnD7bh0vm/Mn1jun06dNq/qCkN998U7dDub/77jv07P0CHnmmKDq+VRFBDhPpjSJ/wiA9AXTkpqkM+kn+pPx+WQAiD/LXHEB5loYC6I742fqBUQRQymOTwDVLzuCTkQcw8OUhkOPa9Bry9fR95GobGKmDDPPZvowa/HXsc/Fsq4BrTPBdAPeNMLcAyvn1MgcwrST71MrxpxRAn7sdMyCBwBGQI+Y6dHoWUXGReGlGDYSVCYUZ5U9zEaQA+t4pfZBAT6TPsaBGEkBZ5fvp8APYtS4KC+YvVnuDMhmXgF0Ax2sggCPNK4AyBCxTjw4dOoTQ0NBUDSbSV7VqVQ4BG7crs2Qk4D6B+Ph4DB/xJmZ+Nh1dRlTCU71LI7OrmezuZ+/Tle5G/9J6iNdRQQqgT+2mbvZQAL2VvpQFNYIE7t18BR8O2YNypapj8aJlanoIk7EJUADvtY9MQerZsyeqVKmCd999F3Lah8xbl71obYtARA5nz56tTqkyU+IQsJlai2X1KwH5cPfo2R25wpIwYGpVFCmV+tufPwvkq/ylLKvbMuhH+ZMy+m0IWB5msGFgraTPKFFAifrNHncEa5ZEYPy499U0EHfPVvXnZ4vPSk3ALoBjNYgA/se8EUAhI3P85OhR24k0jtvAyNYw0q/dOZrUaP2MAmi0FmF5DEVAFrG88ebrmDtvDrqMqICWvQIXDdRaAB1BpyuDFEBt+mQ6EUA9xC/QErhvyxVMefUPlCxWAXPnLFCLw5jMQ4ACeH9bbdq0Sc0BlUWNwsa2EbRE/Ro2bGiehnUoKQXQlM3GQvubwPr161U0ME/RZPSXaGBJ/0YD9ZQ/lyJIAdSuuzlIoN7SFygBZNRPu+4SyJzsAjhGgwjg2+aOAAayHfR8NgVQT7rM21IEJBooq5DnzJuFriMq4slepfw2N9BfAuhUBimAmvXjTfUqaJaXpxn5Yy7g/q1X70X9wquoOVHlypXztJi83iAEKIAGaQgdi0EB1BEus7YmgXXr1qF3794IyR+HPhMqoUyNfLpWNBDyZ6tQ/sz3n45S4fBJXesqmVtpDuDh+pXu43Xt7r3jowKR9BTA61duY9bYI9jwY6R9rl+WLFkCUU0+UyMCdgEcrUEE8B1zRQAHDBjgMUWZHzh9+nSP7wvkDRTAQNLns01LIDY2Vu1HOGnyB2jcsTg6D6+AXPmCdKmPkQTQWQW1lEK/yp9URqNFIClFL62OEEgBVHJ97yhTzVJSYjJ+mncK8z44hif+3ULtlabHps6aFZgZuU3ALoDvaiCA75pLAD1ZqGRbGCJg5Zx5MyUKoJlai2U1HAHZ8HrQoEHYsn0Duo6qgCadS2g+LGx0AUyrUbwRQ6MLoLuil15HDaQEaimAB3Zcw/QRh3D3dh588skn3NfPcG8n3wpkF8B3NBDA0eYSwA0bNrgFLyIiAmPGjMGff/6pVghTAN3CxotIwDoEZBsAOQFl8ODByF7gNnqPr4SyNbUZFg6k/EkLpRwC1qLV0hNDIwmgFrLnjFcgBVCLKOD1y7fx1dgj2PjTRYwaNQpyko/tbG8t+gfzMAYBuwC+rYEAjjGXALpqATnDfvz48WrIV44Slc2iP/jgA3XilZkSI4Bmai2W1dAEbMPCkydPRqMO4ej0ejnkLRTiU5kDKYB6yJ+raGEgBFAv0UurrmYVwIT4ZPw09yTmTz6Opk2eVMc3crjXp4+3oW+2CWD1t3wXwP3vWUMARfamTZuGiRMn4saNG6hYsaISQTkj2oyJAmjGVmOZDU1AhoWHDRuGX35djVZ9S6PNgDLIkSubx2UOpPzpFf1zBSFJ4zlqrp4XqN+bSQKTk+9i/fKzmPfBCeTLFY4PP/wQzZs3DxQ6PtdPBOwC+B8NBHCsuQVQRnlmzZqF0aNHq2Ph5CQbORWkV69ept7YnALopw8TH5PxCGzZsgXDhw/H/oO78ezgMniyRylkC3Z/ZSQF0Lp9xgwCKH/0dvz3EuaMP474W9nVXKdu3bqBq3ut2y8da0YBvEfjhx9+wMiRI3H06FG1+bNsBTZkyBCEhPg2umOEXkQBNEIrsAyWJSB/RFetWoURI0bgUtQZdHy9DBq1L44sWTKlW+eMKH8ChBFA/30U0lsQcmhXFGaPPYazx+6oeX79+/e3xB88/9E1/5PsAjhSgwjgePNFAOXkD5G9bdu2ISgoCC+//LL6LOTLp838biP0EAqgEVqBZbA8geTkZCxatAhvvfUWMmWPxnPDy6JuszD72ZIpAVAArd0lAh0BFLrOBPDM0b8w9/1j2L3hMoa+OkxNZciTJ4+1G4O1c0ogIwtg69at8fPPP6vh3e7du6vod7FixSzXUyiAlmtSVsjIBO7cuYMvvvgCY8a+gzyFs6LNKyVRv1X4fRHBQMuf8PPnAhDH9sooEUCpc6Al0FEAj+yJwtJPTmH7r+fRp/eL6otKWFiYkT9KLJvOBOwCOGIlsoTk9PppSbdjsH/C07h586YaQjVDEvGTbV1KliyJChXcO71HrhdpNFOiAJqptVhWyxCIi4tTR2V9MHEc7ma9g1YDiqNxh+JqjiAF0DLNnG5FAi+Ad/H7/64o8Tu8+xpe6jcAQ4cORXh4eMZoANYyXQJ2ARyugQC+bz4B9LR7cB9AT4nxehLI4AQSEhKwZMkSjB0/GtduXECnl8qg1fOlkCM0a8DIBCr6JxVmBFD/ZpdVvVtWX8Dij4/h4qkEDBo4BIMGDUaBAgX0fzifYBoC9wlgsA8RwDsx2G8yATxz5oxX7WS2bZEYAfSqmXkTCWhLQOYIymbS48aPxvHjx9C2dwk806sU8vm4j6A3pQyUAGYk+ZN28XcEMP5OEtZ/fw7Lpp9B3K1MGDb0TfTr1w+hoaHedBPeY3ECdgF8cyWy+CqAH5grAmjxprVXjwKYUVqa9TQFAVk1vH79eoyfMAYbN25G49bF8Uzv4qhUO7/fyk8B9Btqv0jglfOx+GneGfzf/AgUyFcIb74xSk1s5+kd/mtnMz7JLoBvaCCAEymARuwDFEAjtgrLRAIADh8+jBkzZmDO3FkoUS432vQshsZtiiE4u/t7CXoDkgLoDTXv7tErCihfJPZuvoqVc85i85pzaNH8Sbzyyit44oknTL1xrXeUeZc3BGwCWO113wXwj0kUQG/aQO97KIB6E2b+JOAjAXkRf/311/jss89w9txJNH/uQbR6vgRKlMvlY86pbw+U/ElJMtoQsB7DwDej7uCXpRFYNT8S0dczoWfPnmoPv9KlS2veV5ihtQnYBXCYBgI4mQJoxN5CATRiq7BMJOCEgER1Nm/erETw22+/RaVaBdCkXWE83roYcucL0oQZBVATjG5nokUEUM7o3bn+EtZ9ewFb1kTi4Yfqqbl97dq14zCv2y3BC1MSsAvgaxoI4IcUQCP2MAqgEVuFZSIBFwSuXr2qVg8vXLgQv/++C480CUeT9mGo1zQMwSHeDxFTAP3f9byRQPkycHBHFP77XSQ2rDiPPLkKomvXrmpuX6VKlfxfCT7RcgQogJZr0lQVogBav41ZQ4sTOHHihBJB+blw6SwaPR2OJ9oVQY36hVweOZcSDQXQ/53FEwGMOH4Lv357Fr8tv4TYv4COHTsq8WvQoAHn9vm/6Sz9RLsAvqpBBHAqI4BG7CwUQCO2CstEAl4QkKjQrl27sGDBAhUdzJT1Nhq0eAD1mxdGjfoFERScfmQwkPIn1c2IcwCl3ukJoLTpiQM3sXXNRWxbfQ2nj95Aq1at0K1bN7Ro0YJDvF58TniLewQogO5xMvNVFEAztx7LTgJpEEhMTMS6deuwYsUKtb9g1I0reLhxETzSrAAeeSIMeQsEp7qTAhi47uQogbJf397NV7BtzWVsX3sFt27E48kWTynxa9OmDc/mDVwzZagn2wVwiAYRwGmMABqx81AAjdgqLBMJaEhAokj79u1TIvj9im/wx77DqFY3DI80y496zcLUamI5xogCqCF0D7M6cTkWO/57CdvXXsPO9ReQL29etG3THnIofaNGjRjp85AnL/edgF0AB2sggB9RAH1vEe1zoABqz5Q5koChCURGRmLlypVY8eO3WL/uf8iZOwsefjQMdernQ90GhVCybKgSQn+njDQEHHXlNnZtuYrdm69h55bLOHXsL9SsXQXPtOmopK969eoBaQN/tzmfZ1wCdgEcpIEAfkwBNGJLUwCN2CosEwn4icDt27exY8cO/Pbbb1i3fjW2bd2F3HlDULdBQb8KodXlz1H4dm+9gT+PXkXVauXR+PFmaNz432jYsCHP4vVTn+dj3CNgF8CBGgjgJ54L4M6dO/HOO+9g69atiI+PR5UqVTBkyBB06dLFvQrwKpcEKIAuEfECEsg4BEQIt2/froRQfrZu3YzQXMGoXCM/KtbIiSo18qJS9bwoUiyHphEqKwngXzficXj/dRzadwNH9kXj8P6bOHv6OqpVq4bHH39c/Tz22GMUvozzsTJlTW0CWPUV3wXwwKeeCaC8e5o3b46goCA899xzat7r8uXLcerUKYwbNw4jR440JVOjFZoCaLQWYXlIwEAERAj37NmD3bt3238OHTqEPHlDULl6AVSskQOVa+RF+cp5ULR4TmTLltmr0ptRAGVu5ZVLt/Hnkb9weN91HP0jBof33UTE6SiUKFECderUQe3atdV/69atS+HzqmfwpkARsAvgyxoI4HT3BVAWsFWsWBHnzp1T0b9atWopBLdu3UK9evVw9OhRyDuoXLlygUJjmedSAC3TlKwICfiHQFxcnFpU4iiFR44cQXJyMh4smQclyoSieOlg9d+SZUJRomwuFA4LSTdiaGQB/OtmPM78GY2IP2/9/d/biDgZh9N/RiEuNgElS5a0i55N+goWLOifxuBTSEAnAoESwF9++UVF/+QYw9mzZ99Xu6VLl6qI4IgRIzB+/Hidap5xsqUAZpy2Zk1JQDcCSUlJiIiIwLFjx1L9nDlzBtlzBCH8wdwoFJYdBQtnQ4EHsqDQA9lR6IEQFAoLQf7C9/6dPWdW3cqYMuOEhGRcu3xbRfGuXrqNKxfj1H+vXorHtcuJuHrpDi5GRuPa1WgUKlQI5cuXT/VTpkwZZM+e3W9l5oNIwF8E7ALYX4MI4Ez3I4AyvDthwgQsXrxYyZ5jun79OvLnz4/69eurYzGZfCNAAfSNH+8mARJwQUCGkeW0EhHECxcu2H/ORZ7ChQvncf7COVy+eBMJCYkIDsmGnDmDkDM0GDlDsykhzBmaFdlzZkaO0MzIkTMTgkIyI3OmTMicJRMyZwa+nnEMTz5bHAUKh+Bu8l0k372LhPi7iItJRmz0XcTGJCEuJgkx0YmIjUlATHS8+omNuaOikgUKhqJo0XAUKVIU4UVLomjRoihSpIj6CQ8PV0NN+fLlYzuTQIYiYBPASr2/QZagHF7XPSk+FodndcTZs2eRO3duez7BwcFOtzfq0KGDOutcNrWXiHrKJF/G5HN7+fJlr8vEG+8RoACyJ5AACQScgAwfR0VFqR+Z6yM/0dHRTv8tQinX236+/PJLNG3aFKVLl1bHoclP1qxZkStXLvtPaGhoqn/LxPLChQsjW7ZsAa8/C0ACRiMgn7NSpUrh4sWLPhdNPn/yeXZMssL33XffTZV3s2bNsHbtWhw/fhxly5ZN9XuJusv8wDt37vhcroyeAQUwo/cA1p8ESIAESIAEnBAQCZQtWHxNsmAq5d6iaUUAKYC+0nb/fgqg+6x4JQmQAAmQAAmQgI4EOASsI9wUWVMA/ceaTyIBEiABEiABEkiHABeB+K97UAD9x5pPIgESIAESIAESSIfAmjVr0KJFC24D44deQgH0A2Q+ggRIgARIgARIwDUB2Qi6QoUKkDPLt23bhpo1a6qbHDeCPnjwoNqSick3AhRA3/jxbhIgARIgARIgAQ0JrF+/Xm0GLQtFOnfurLaPsR0FN3bsWIwaNUrDp2XcrCiAGbftWXMSIAESIAESMCSBHTt2QLaKkePgZCVylSpVMGTIEHTt2tWQ5TVjoSiAZmw1lpkESIAESIAESIAEfCBAAfQBHm8lARIgARIgARIgATMSoACasdVYZhIgARIgARIgARLwgQAF0Ad4vJUESCAwBGJjYzFt2jR1ZuixY8cgKwcLFiyojq569NFH0adPH8iRUUwkQAIkQALOCVAA2TNIgARMRUC2gxDJ279/vzortEmTJsibN686bF62h9i3bx/kfGCRQCYSIAESIAEKIPsACZCABQi89957ePvtt9G7d28leinPGD116pQ6KL5ixYoWqC2rQAIkQAL6EGAEUB+uzJUESEAnAi1btsSqVauwZ88e+yaxOj2K2ZIACZCAZQlQAC3btKwYCViTQLdu3bBw4UIsW7YM7du3t2YlWSsSIAES0JkABVBnwMyeBEhAWwIrVqxA27Zt1ekA/fv3R7NmzVCrVi3ky5dP2wcxNxIgARKwMAEKoIUbl1UjAasSmDRpEsaMGYPo6Gh7FWXVrxwiP3jwYJQrV86qVWe9SIAESEATAhRATTAyExIgAX8TkNXAq1evxpYtW7Br1y5s374dCQkJCAkJwdKlS9G6dWt/F4nPIwESIAHTEKAAmqapWFASIIH0CNy8eRMjR47EjBkz1J6AkZGRCAoKIjQSIAESIAEnBCiA7BYkQAKWIXD37l21GfSZM2dUVLBOnTqWqRsrQgIkQAJaEqAAakmTeZEACQScQOXKlXH48GEKYMBbggUgARIwMgEKoJFbh2UjARJIReDzzz9H7dq1Ubdu3VS/W758udoaJk+ePLh48SKCg4NJkARIgARIgEPA7AMkQAJmJyBbwMhWMHIMXIMGDVC0aFG1Gnjv3r3YuHEjMmfOjAULFqBz585mryrLTwIkQAK6EWAEUDe0zJgESEAPAkePHsWPP/6ItWvX4sSJE7hw4YJ6THh4uDojeODAgZz7pwd45kkCJGApAhRASzUnK0MCJEACJEACJEACrglQAF0z4hUkQAIkQAIkQAIkYCkCFEBLNScrQwIkQAIkQAIkQAKuCVAAXTPiFSRAAiRAAiRAAiRgKQIUQEs1JytDAiRAAiRAAiRAAq4JUABdM+IVJEACJEACJEACJGApAhRASzUnK0MCJEACJEACJEACrglQAF0z4hUkQAIkQAIkQAIkYCkCFEBLNScrQwIkQAIkQAIkQAKuCVAAXTPiFSRAAiRAAiRAAiRgKQIUQEs1JytDAiRAAiRAAiRAAq4JUABdM+IVJEACJEACJEACJGApAhRASzUnK0MCJEACJEACJEACrglQAF0z4hUkQAIkQAIkQAIkYCkCFEBLNScrQwIkQAIkQAIkQAKuCVAAXTPiFSRAAiRAAiRAAiRgKQIUQEs1JytDAiRAAiRAAiRAAq4JUABdM+IVJEACJEACJEACJGApAhRASzUnK0MCJEACJEACJEACrglQAF0z4hUkQAIkQAIkQAIkYCkCFEBLNScrQwIkQAIkQAIkQAKuCVAAXTPiFSRAAiRAAiRAAiRgKQIUQEs1JytDAiRAAiRAAiRAAq4JUABdM+IVJEACJEACJEACJGApAhRASzUnK0MCJEACJEACJEACrgn8PyUKxUuLd5lDAAAAAElFTkSuQmCC\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"#matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"# prepare data\n",
"plot_var = EPV_tilt_aspect['PV_norm']\n",
"plot_array = plot_var.to_xarray()\n",
"\n",
"plot_array['tilt_round' == FLAT] = plot_array['tilt_round' == FLAT].mean()\n",
"\n",
"theta = plot_array.aspect_round * np.pi / 180 - (0.5 * ASP_ROUND * np.pi / 180)\n",
"tilts = plot_array.tilt_round\n",
"\n",
"data = plot_array.values\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = 0\n",
"VMAX = None\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('S')\n",
"ax.set_theta_direction(-1)\n",
"\n",
"plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Normalized annual $E_{PV}$ ($kWh/m^2_{roof}$)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['S', 'SW', 'W', 'NW', 'N', 'NE', 'E', 'SE']\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_xticklabels( xticks )\n",
"ax.set_rticks( np.asarray(ax.get_yticks())-2 )\n",
"ax.set_yticklabels( yticks )\n",
"ax.text(60,85, 'Tilt angle')\n",
"\n",
"ax.set_rlabel_position(200) # get radial labels away from plotted line\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'PV_slope_azimuth_suitable_norm.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### $E_{PV}$ per roof tilt and area (all roofs)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
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" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>yearly_std_PV</th>\n",
" <th>yearly_PV_kWh</th>\n",
" <th>unc_perc</th>\n",
" <th>PV_norm</th>\n",
" <th>PV_std_norm</th>\n",
" <th>available_area</th>\n",
" <th>PV_per_avail_area</th>\n",
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" <tr>\n",
" <th>area_log_round</th>\n",
" <th>tilt_round</th>\n",
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" <td>0.004602</td>\n",
" <td>0.017021</td>\n",
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" <td>0.007391</td>\n",
" <td>0.006090</td>\n",
" <td>0.015131</td>\n",
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" <td>0.021203</td>\n",
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" <td>0.085869</td>\n",
" <td>0.023149</td>\n",
" <td>0.027982</td>\n",
" <td>0.004952</td>\n",
" <td>0.018351</td>\n",
" <td>0.000182</td>\n",
" <td>132.516750</td>\n",
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],
"text/plain": [
" yearly_std_PV yearly_PV_kWh unc_perc PV_norm \\\n",
"area_log_round tilt_round \n",
"0.7 0.0 0.077004 0.020694 0.012311 0.004602 \n",
" 5.0 0.066672 0.028715 0.004395 0.006158 \n",
" 10.0 0.070311 0.028216 0.007391 0.006090 \n",
" 15.0 0.073288 0.021203 0.016880 0.004517 \n",
" 20.0 0.085869 0.023149 0.027982 0.004952 \n",
"\n",
" PV_std_norm available_area PV_per_avail_area \n",
"area_log_round tilt_round \n",
"0.7 0.0 0.017021 0.000146 147.100725 \n",
" 5.0 0.014265 0.000216 133.153006 \n",
" 10.0 0.015131 0.000217 130.846158 \n",
" 15.0 0.015590 0.000167 133.515244 \n",
" 20.0 0.018351 0.000182 132.516750 "
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"EPV_tilt_area = pd.read_csv( os.path.join( DATA_PATH, 'EPV_area_tilt.csv' ), index_col = [0, 1])\n",
"EPV_tilt_area.head()"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
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" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"#matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plot_array = (EPV_tilt_area['PV_norm']).to_xarray()\n",
"plot_array.coords['area_log_round'] = 10**(plot_array.area_log_round)\n",
"\n",
"plot_array.attrs['long_name'] = 'Normalized annual $E_{PV}$ (kWh/m$^2_{roof}$)'\n",
"\n",
"plt.figure()\n",
"ax = plt.subplot()\n",
"\n",
"VMIN = 0\n",
"VMAX = 130\n",
"\n",
"plot_array.plot(cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"\n",
"ax.set_yscale('log')\n",
"plt.xlabel('Roof tilt (in degree)') # Roof aspect\n",
"plt.ylabel('Roof area (in $m^2$)')\n",
"plt.ylim(bottom = 22)\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'PV_per_roof_area_tilt_norm.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# PV potential - aggregated"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Pixel map - 500x500m"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x_pixel: 693, y_pixel: 440)\n",
"Coordinates:\n",
" * x_pixel (x_pixel) float64 4.86e+05 4.865e+05 ... 8.315e+05 8.32e+05\n",
" * y_pixel (y_pixel) float64 7.55e+04 7.6e+04 ... 2.945e+05 2.95e+05\n",
"Data variables:\n",
" yearly_PV_MWh (x_pixel, y_pixel) float32 ...\n",
" yearly_std_PV (x_pixel, y_pixel) float64 ..."
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"EPV_pixel = xr.open_dataset( os.path.join( DATA_PATH, 'EPV_pixel_500m.nc' ))\n",
"EPV_pixel"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"830\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"#matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"\n",
"# prepare data\n",
"data = EPV_pixel.yearly_PV_MWh.T.values\n",
"x = EPV_pixel.x_pixel\n",
"y = EPV_pixel.y_pixel\n",
"\n",
"X, Y = np.meshgrid( x, y )\n",
"VMIN = 0\n",
"VMAX = np.percentile(EPV_pixel.yearly_PV_MWh.to_dataframe().dropna(), 90) # this is the 90th percentile of the data\n",
"\n",
"fig = plt.figure(figsize = (8.3, 5.8)) # \n",
"ax = plt.subplot()\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"\n",
"im = plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"# = plt.colorbar(extend = 'max', orientation=\"horizontal\",\n",
" # shrink = 0.7, aspect = 20, pad = 0.08, \n",
"# panchor = (0, 0.5) ) # get_cbar_extent( data, VMIN, VMAX )\n",
"# .set_label('Aggregated $E_{PV}$ per pixel (MWh)', labelpad = -55)\n",
"\n",
"# FORMATTING\n",
"\n",
"plt.tight_layout()\n",
"\n",
"plt.subplots_adjust(bottom=0.1, top = 1.03)\n",
"cbar_ax = fig.add_axes([0.05, 0.05, 0.5, 0.04])\n",
"cb = plt.colorbar(im, extend = 'max', orientation=\"horizontal\", cax=cbar_ax) \n",
"cb.set_label('Aggregated $E_{PV}$ per pixel (MWh)', labelpad = -55, ha = 'left', position = (0, 0))\n",
"# cb.ax.xaxis.set_label('Aggregated $E_{PV}$ per pixel (MWh)', position = (0.05, 86.7))\n",
"\n",
"plt.show()\n",
"\n",
"plt.savefig(os.path.join(FIGURE_PATH,'PV_per_pixel_small.jpg'), dpi = 1000)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
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\" width=\"850\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': PIXELMAP_SIZE})\n",
"#matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"\n",
"# prepare data\n",
"data = EPV_pixel.yearly_PV_MWh.T.values\n",
"x = EPV_pixel.x_pixel\n",
"y = EPV_pixel.y_pixel\n",
"\n",
"X, Y = np.meshgrid( x, y )\n",
"VMIN = 0\n",
"VMAX = np.percentile(EPV_pixel.yearly_PV_MWh.to_dataframe().dropna(), 90) # this is the 90th percentile of the data\n",
"\n",
"fig = plt.figure(figsize = (8.5, 4.8)) #\n",
"ax = plt.subplot()\n",
"im = plt.pcolor(X, Y, data, cmap = cm_PV, vmin = VMIN, vmax = VMAX)\n",
"# cb = plt.colorbar(extend = 'max') # get_cbar_extent( data, VMIN, VMAX )\n",
"\n",
"# FORMATTING\n",
"\n",
"plt.axis('equal')\n",
"plt.axis('off')\n",
"plt.tight_layout()\n",
"\n",
"plt.subplots_adjust(right=0.88)\n",
"cbar_ax = fig.add_axes([0.9, 0.15, 0.02, 0.7])\n",
"cb = plt.colorbar(im, extend = 'max', cax=cbar_ax)\n",
"cb.set_label('Aggregated $E_{PV}$ per pixel (MWh)')\n",
"\n",
"plt.show()\n",
"\n",
"plt.savefig(os.path.join(FIGURE_PATH,'PV_per_pixel_interp.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Hourly potential and demand"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
"EPV_hourly = pd.read_csv( os.path.join(DATA_PATH, 'EPV_demand_hourly.csv'), index_col = 0 )"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"PV_pot = EPV_hourly['PV_GWh']\n",
"PV_min = EPV_hourly['PV_GWh_min']\n",
"PV_max = EPV_hourly['PV_GWh_max']\n",
"demand = EPV_hourly['demand_GWh']"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Applications/anaconda2/envs/py3_new/lib/python3.7/site-packages/ipykernel_launcher.py:6: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
" \n"
]
},
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"1280\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"#matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"plt.figure(figsize = (12.8, 3.3))\n",
"ax = plt.subplot()\n",
"\n",
"plt.plot(demand, label = 'Demand (2018)',c='C0', zorder=3)\n",
"plt.plot(PV_pot, label = '$E_{PV}$', c='C1')\n",
"plt.fill_between(range(len(PV_pot)), PV_min, PV_max, alpha = 0.3, facecolor='C1', label = '$E_{PV} \\pm \\sigma_{PV}$' )\n",
"\n",
"ax.set_xticks(list(range(12, 24*12, 24)))\n",
"ax.set_xticklabels(calendar.month_abbr[1:])\n",
"ax.set_ylabel('Electric power (GW)')\n",
"\n",
"plt.xlim((0, 24*12))\n",
"\n",
"ax = plt.gca()\n",
"ax.set_axisbelow(True)\n",
"ax.yaxis.grid(linestyle = '--')\n",
"\n",
"plt.legend()\n",
"plt.show()\n",
"plt.tight_layout()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'PV_hourly_w_unc_demand.pdf'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### PV potential per roof surface"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"roof_shapes = gpd.read_file( os.path.join(DATA_PATH, 'roof_sample_GVA', 'roof_sample_GVA.shp') )"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DF_UID</th>\n",
" <th>DF_NUMMER</th>\n",
" <th>SB_UUID</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUN</th>\n",
" <th>available_</th>\n",
" <th>yearly_kWh</th>\n",
" <th>yearly_PV_</th>\n",
" <th>PV_norm</th>\n",
" <th>x_pixel</th>\n",
" <th>y_pixel</th>\n",
" <th>Annual_PV_</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>5020085</td>\n",
" <td>2</td>\n",
" <td>{A22BA651-3FF3-48BA-B28E-CB9C6FFCFC16}</td>\n",
" <td>498784.961194</td>\n",
" <td>114754.068581</td>\n",
" <td>233.883854</td>\n",
" <td>7</td>\n",
" <td>179.0</td>\n",
" <td>150.158666</td>\n",
" <td>1114.959792</td>\n",
" <td>22927.451172</td>\n",
" <td>98.029217</td>\n",
" <td>499000.0</td>\n",
" <td>115000.0</td>\n",
" <td>22.927452</td>\n",
" <td>POLYGON ((498802.1068999991 114749.9400000024,...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>5020156</td>\n",
" <td>4</td>\n",
" <td>{9C11370B-3996-4913-A6D9-D8EC985F07D9}</td>\n",
" <td>499028.492349</td>\n",
" <td>114753.542009</td>\n",
" <td>196.738184</td>\n",
" <td>13</td>\n",
" <td>17.0</td>\n",
" <td>111.895562</td>\n",
" <td>1294.197626</td>\n",
" <td>19692.794922</td>\n",
" <td>100.096456</td>\n",
" <td>499000.0</td>\n",
" <td>115000.0</td>\n",
" <td>19.692795</td>\n",
" <td>POLYGON ((499041.1651000008 114750.3462999959,...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID DF_NUMMER SB_UUID XCOORD \\\n",
"0 5020085 2 {A22BA651-3FF3-48BA-B28E-CB9C6FFCFC16} 498784.961194 \n",
"1 5020156 4 {9C11370B-3996-4913-A6D9-D8EC985F07D9} 499028.492349 \n",
"\n",
" YCOORD FLAECHE NEIGUNG AUSRICHTUN available_ yearly_kWh \\\n",
"0 114754.068581 233.883854 7 179.0 150.158666 1114.959792 \n",
"1 114753.542009 196.738184 13 17.0 111.895562 1294.197626 \n",
"\n",
" yearly_PV_ PV_norm x_pixel y_pixel Annual_PV_ \\\n",
"0 22927.451172 98.029217 499000.0 115000.0 22.927452 \n",
"1 19692.794922 100.096456 499000.0 115000.0 19.692795 \n",
"\n",
" geometry \n",
"0 POLYGON ((498802.1068999991 114749.9400000024,... \n",
"1 POLYGON ((499041.1651000008 114750.3462999959,... "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roof_shapes.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"roofs_suitable = roof_shapes[(abs(roof_shapes.AUSRICHTUN) <= 90) & (roof_shapes.available_ >= 8) ]\n",
"roofs_unsuitable = roof_shapes[(abs(roof_shapes.AUSRICHTUN) > 90) | (roof_shapes.available_ < 8) ]"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"src_ds = gdal.Open( os.path.join( DATA_PATH, \"swissimage_example_2.tif\" ) )\n",
"data = src_ds.ReadAsArray()\n",
"\n",
"# get array in right format\n",
"data_swapped = np.swapaxes(data,0,2)\n",
"data_swapped = np.swapaxes(data_swapped,0,1)\n",
"\n",
"# extract coordinates\n",
"x0, dx, dxdy, y0, dydx, dy = src_ds.GetGeoTransform()\n",
"x1 = x0+dx*data_swapped.shape[0]\n",
"y1 = y0+dy*data_swapped.shape[1]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"450\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"VMAX = 30\n",
"VMIN = 0\n",
"linecolor = 'k'\n",
"LW = 0.1\n",
"matplotlib.rcParams.update({'font.size': 14})\n",
"\n",
"fig, ax = plt.subplots(figsize = (4.5, 5.8)) # figsize = (10, 10)\n",
"\n",
"# norm = matplotlib.colors.LogNorm(vmin = VMIN, vmax=VMAX)\n",
"norm = matplotlib.colors.Normalize(vmax=VMAX)\n",
"\n",
"plt.imshow(data_swapped, extent = (x0, x1, y0, y1), alpha = 0.45, origin = 'lower')\n",
"roofs_suitable.plot( ax = ax, column = 'Annual_PV_', cmap = cm_PV, vmin = VMIN, vmax = VMAX, norm = norm ,\n",
" edgecolor = linecolor, lw = LW,\n",
" legend=False )\n",
"roofs_unsuitable.plot( ax = ax, color = 'lightgrey',\n",
" edgecolor = linecolor, lw = LW)\n",
"\n",
"# FORMATTING\n",
"plt.axis('off')\n",
"\n",
"plt.ylim((115300, 115800))\n",
"plt.xlim((499660, 500160))\n",
"# plt.ylim((113540, 114040))\n",
"# plt.xlim((498080, 498580))\n",
"\n",
"# add colorbar\n",
"cbar = plt.cm.ScalarMappable(norm=norm, cmap=cm_PV)\n",
"\n",
"plt.subplots_adjust(bottom=0.18, top = 0.99, left = 0.05, right = 0.95)\n",
"cbar_ax = fig.add_axes([0.05, 0.07, 0.85, 0.04])\n",
"cb = plt.colorbar(cbar, extend = 'max', orientation=\"horizontal\", cax=cbar_ax) \n",
"cb.set_label('Annual PV potential (MWh)', labelpad = -61, ha = 'left', position = (0, 0))\n",
"\n",
"plt.show()\n",
"plt.savefig(os.path.join(FIGURE_PATH, 'PV_MWh_roofs.jpg'), dpi = 1000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Sensitivity analysis"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Sensitivity to percentage change"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
"sensitivity_change = pd.read_csv( os.path.join(DATA_PATH, 'sensitivity_lin_no_thresh_all.csv'), index_col = 0 )"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Gh</th>\n",
" <th>T_amb</th>\n",
" <th>SVF</th>\n",
" <th>S_sh</th>\n",
" <th>A_PV</th>\n",
" <th>albedo</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>-0.50</th>\n",
" <td>-0.483978</td>\n",
" <td>0.040684</td>\n",
" <td>-0.182121</td>\n",
" <td>-0.284277</td>\n",
" <td>-0.50</td>\n",
" <td>-0.002991</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-0.49</th>\n",
" <td>-0.473695</td>\n",
" <td>0.039951</td>\n",
" <td>-0.178346</td>\n",
" <td>-0.278317</td>\n",
" <td>-0.49</td>\n",
" <td>-0.002850</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-0.48</th>\n",
" <td>-0.463433</td>\n",
" <td>0.039218</td>\n",
" <td>-0.174573</td>\n",
" <td>-0.272366</td>\n",
" <td>-0.48</td>\n",
" <td>-0.002710</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-0.47</th>\n",
" <td>-0.453193</td>\n",
" <td>0.038485</td>\n",
" <td>-0.170802</td>\n",
" <td>-0.266422</td>\n",
" <td>-0.47</td>\n",
" <td>-0.002569</td>\n",
" </tr>\n",
" <tr>\n",
" <th>-0.46</th>\n",
" <td>-0.442974</td>\n",
" <td>0.037752</td>\n",
" <td>-0.167033</td>\n",
" <td>-0.260486</td>\n",
" <td>-0.46</td>\n",
" <td>-0.002429</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Gh T_amb SVF S_sh A_PV albedo\n",
"-0.50 -0.483978 0.040684 -0.182121 -0.284277 -0.50 -0.002991\n",
"-0.49 -0.473695 0.039951 -0.178346 -0.278317 -0.49 -0.002850\n",
"-0.48 -0.463433 0.039218 -0.174573 -0.272366 -0.48 -0.002710\n",
"-0.47 -0.453193 0.038485 -0.170802 -0.266422 -0.47 -0.002569\n",
"-0.46 -0.442974 0.037752 -0.167033 -0.260486 -0.46 -0.002429"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sensitivity_change.head()"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"col_names = {0 : '$G_h$',\n",
" 3 : '$(1-S_{sh})$',\n",
" 2 : '$SVF$',\n",
" 5 : r'$\\rho$',\n",
" 4 : '$C_{sh}, C_{pv}$',\n",
" 1 : '$T_{amb}$'}"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
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" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
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" if (warnings) {\n",
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" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
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"\n",
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" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
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"\n",
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"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
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"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
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" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
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"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
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"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
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"\n",
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" } else {\n",
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" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
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"\n",
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"\n",
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" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
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" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
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" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
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" icon_img.addClass('ui-corner-all');\n",
"\n",
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"\n",
" button.append(icon_img);\n",
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" var fmt_picker_span = $('<span/>');\n",
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" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
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"\n",
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" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
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" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
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"\n",
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" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"# matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"PV_pot = 24.58\n",
"\n",
"plt.rcParams['axes.axisbelow'] = True\n",
"\n",
"plt.figure()\n",
"ax = plt.gca()\n",
"\n",
"for color_idx, name in col_names.items():\n",
" sensitivity_change.iloc[:, color_idx].plot(ax = ax, label = name, lw = 1.5) # , c = 'C%d' %color_idx\n",
" # ax.plot([-0., 0.], [-0., 0.], label = name, c = 'C%d' %color_idx)\n",
"\n",
"ax.legend(loc = 2, labelspacing = 0.15)\n",
"ax.grid(ls = '--')\n",
"ax.set_ylabel('Change in PV potential ($\\Delta E_{PV} / E_{PV0}$)')\n",
"ax.set_ylim(-0.55, 0.55)\n",
"\n",
"ax2 = ax.twinx() # instantiate a second axes that shares the same x-axis\n",
"ax2.set_ylim((PV_pot * (1-0.55), PV_pot * (1+0.55)))\n",
"ax2.set_ylabel('Technical PV potential (in TWh)')\n",
"\n",
"plt.xlim(-0.55, 0.55)\n",
"ax.set_xlabel('Change in variable ($\\\\Delta X / X_{0}$)')\n",
"plt.tight_layout()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'sensitivity_vars_Tamb.pdf'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Sensitivity for variation of $\\pm \\sigma$"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"sensitivity_unc = pd.read_csv( os.path.join(DATA_PATH, 'sensitivity_unc.csv'), index_col = 0 )"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>$G_h$</th>\n",
" <th>$S_{sh}$</th>\n",
" <th>$SVF$</th>\n",
" <th>$C_{sh}$</th>\n",
" <th>$C_{pv}$</th>\n",
" <th>$G_t$</th>\n",
" <th>$A_{PV}$</th>\n",
" <th>$E_{PV}$</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>sigma_p_nosel</th>\n",
" <td>0.172</td>\n",
" <td>0.037</td>\n",
" <td>0.063</td>\n",
" <td>0.083</td>\n",
" <td>0.110</td>\n",
" <td>0.238</td>\n",
" <td>0.263</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>sigma_m_nosel</th>\n",
" <td>-0.173</td>\n",
" <td>-0.113</td>\n",
" <td>-0.063</td>\n",
" <td>-0.083</td>\n",
" <td>-0.110</td>\n",
" <td>-0.236</td>\n",
" <td>-0.262</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>sigma_p_sel</th>\n",
" <td>0.180</td>\n",
" <td>0.034</td>\n",
" <td>0.058</td>\n",
" <td>0.068</td>\n",
" <td>0.102</td>\n",
" <td>0.247</td>\n",
" <td>0.231</td>\n",
" <td>0.359012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>sigma_m_sel</th>\n",
" <td>-0.184</td>\n",
" <td>-0.119</td>\n",
" <td>-0.058</td>\n",
" <td>-0.068</td>\n",
" <td>-0.102</td>\n",
" <td>-0.245</td>\n",
" <td>-0.231</td>\n",
" <td>-0.358952</td>\n",
" </tr>\n",
" <tr>\n",
" <th>perc_change</th>\n",
" <td>0.173</td>\n",
" <td>0.127</td>\n",
" <td>0.175</td>\n",
" <td>0.089</td>\n",
" <td>0.113</td>\n",
" <td>0.240</td>\n",
" <td>0.273</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" $G_h$ $S_{sh}$ $SVF$ $C_{sh}$ $C_{pv}$ $G_t$ $A_{PV}$ \\\n",
"sigma_p_nosel 0.172 0.037 0.063 0.083 0.110 0.238 0.263 \n",
"sigma_m_nosel -0.173 -0.113 -0.063 -0.083 -0.110 -0.236 -0.262 \n",
"sigma_p_sel 0.180 0.034 0.058 0.068 0.102 0.247 0.231 \n",
"sigma_m_sel -0.184 -0.119 -0.058 -0.068 -0.102 -0.245 -0.231 \n",
"perc_change 0.173 0.127 0.175 0.089 0.113 0.240 0.273 \n",
"\n",
" $E_{PV}$ \n",
"sigma_p_nosel NaN \n",
"sigma_m_nosel NaN \n",
"sigma_p_sel 0.359012 \n",
"sigma_m_sel -0.358952 \n",
"perc_change NaN "
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sensitivity_unc"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option);\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>');\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
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"output_type": "display_data"
},
{
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# PLOTTING SETUP\n",
"matplotlib.rcParams.update({'font.size': BASE_SIZE})\n",
"#matplotlib.rc('font',**{'family':'serif','serif':['Times New Roman']})\n",
"\n",
"# PLOTTING ROUTINE\n",
"PV_pot = 24.58\n",
"max_sel = sensitivity_unc.loc['sigma_p_sel', '$E_{PV}$']\n",
"min_sel = sensitivity_unc.loc['sigma_m_sel', '$E_{PV}$']\n",
"\n",
"plt.rcParams['axes.axisbelow'] = True\n",
"\n",
"bar_names = sensitivity_unc.drop(columns = '$E_{PV}$').columns\n",
"plt_df = sensitivity_unc.drop(columns = '$E_{PV}$').T.reset_index().drop(columns = 'index') \n",
"plt_df['zeros'] = 0\n",
"\n",
"plt.figure()\n",
"ax = plt.gca()\n",
"\n",
"ax.bar(plt_df.index, plt_df.sigma_p_nosel - plt_df.sigma_m_nosel, bottom = plt_df.sigma_m_nosel, \n",
" alpha = 0.4, label = 'All roofs')\n",
"ax.errorbar(plt_df.index, plt_df.zeros, yerr=abs(plt_df[['sigma_m_sel', 'sigma_p_sel']].T.values), \n",
" fmt = 'o', label= 'Suitable roofs')\n",
"\n",
"ax.plot([-1, 7], [max_sel, max_sel], 'C1', ls = '--', label = '$\\sigma_{PV}$')\n",
"ax.plot([-1, 7], [min_sel, min_sel], 'C1', ls = '--', label = '')\n",
"\n",
"ax.legend(loc = 0, labelspacing = 0.25)\n",
"ax.yaxis.grid(ls = '--')\n",
"ax.set_ylabel('Change in PV potential ($\\Delta E_{PV} / E_{PV0}$)')\n",
"ax.set_ylim(-0.41, 0.41)\n",
"\n",
"ax2 = ax.twinx() # instantiate a second axes that shares the same x-axis\n",
"ax2.set_ylim((PV_pot * (1-0.4), PV_pot * (1+0.4)))\n",
"ax2.set_ylabel('Technical PV potential (in TWh)')\n",
"\n",
"plt.xticks(range(len(plt_df.index)), bar_names)\n",
"plt.xlim(-0.7, 6.7)\n",
"plt.tight_layout()\n",
"plt.savefig(os.path.join(FIGURE_PATH,'sensitivity_unc.pdf'))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.1"
+ "version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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